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Paper Citation Record · LEDGER

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision

As of 8 August 2026, this Paper Citation Record lists 83 of 83 outbound references and 0 inbound Pith citation observations for arXiv:2507.16318.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.16318 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:18:29.140260Z

measured 83 of 83 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

83 of 83 outbound references displayed

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  • verified fuzzy66
  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d9b9061a-8e35-4dd8-a0e7-a2880e2ba89e · outbound

This paper cites Effectiveness guided cross-modal information sharing for aligned rgb-t object de- tection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Effectiveness guided cross-modal information sharing for aligned rgb-t object de- tection

Reference 1

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Observation 7717a507-3fb4-40c5-a3e1-20bf9bca7fa4 · outbound

This paper cites Foundational Models Defining a New Era in Vision: A Survey and Outlook.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Foundational Models Defining a New Era in Vision: A Survey and Outlook

Reference 2

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Observation 2ec73e11-a5bc-4b08-80b3-6fe007d9c075 · outbound

This paper cites Multimodal object detection by channel switching and spatial attention.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multimodal object detection by channel switching and spatial attention

Reference 3

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Observation 42cef2d4-d42c-4f30-8859-2e580c1e5d90 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 4

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Observation 915e9008-126a-43ac-916e-372473d97a64 · outbound

This paper cites Multimodal object detection via probabilistic ensembling.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multimodal object detection via probabilistic ensembling

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2fd196b7-715e-4461-9b78-751556277706 · outbound

This paper cites Feanet: Feature-enhanced atten- tion network for rgb-thermal real-time semantic segmenta- tion.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Feanet: Feature-enhanced atten- tion network for rgb-thermal real-time semantic segmenta- tion

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 62c236d1-1b71-4643-a9bb-66d887b11671 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Imagenet: A large-scale hierarchical image database

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8e675778-c0fc-4c0b-9406-efc5896e4907 · outbound

This paper cites Redfeat: Recoupling detection and description for multimodal feature learning.IEEE Trans- actions on Image Processing, 32:591–602, 2022.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Redfeat: Recoupling detection and description for multimodal feature learning.IEEE Trans- actions on Image Processing, 32:591–602, 2022

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 30295ddd-2af1-4985-a9fc-73c1f12c7b43 · outbound

This paper cites Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning

Reference 9

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 025d29a9-4691-4538-b17f-f432690ac330 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 10

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Observation 03e9db4b-97be-4cbc-815f-a867b13970b1 · outbound

This paper cites Siamese network for rgb-d salient object detection and beyond.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Siamese network for rgb-d salient object detection and beyond

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 109bb509-30fc-4aee-a1fa-8b052dcf2c68 · outbound

This paper cites Fusion of multispectral data through illumination-aware deep neural networks for pedestrian de- tection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Fusion of multispectral data through illumination-aware deep neural networks for pedestrian de- tection

Reference 12

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 17a801b4-a45f-42b1-9907-56facb25b838 · outbound

This paper cites Mfnet: Towards real-time se- mantic segmentation for autonomous vehicles with multi- spectral scenes.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Mfnet: Towards real-time se- mantic segmentation for autonomous vehicles with multi- spectral scenes

Reference 13

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation bbe3bad4-047d-430b-9f47-e6f8f1986a70 · outbound

This paper cites Masked autoencoders are scalable vision learners.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Masked autoencoders are scalable vision learners

Reference 14

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raw_fallback, observed 2026-08-06T15:18:46.062913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 10fbabd0-9e40-499b-9510-59755331f869 · outbound

This paper cites Multispec- tral object detection via cross-modal conflict-aware learning.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multispec- tral object detection via cross-modal conflict-aware learning

Reference 15

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 0203e63c-d16e-4043-8900-799f191a4737 · outbound

This paper cites Spectralgpt: Spectral remote sensing foun- dation model.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Spectralgpt: Spectral remote sensing foun- dation model

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation df4b34dc-c368-40e4-a888-9abc382f43b2 · outbound

This paper cites MILAN: Masked Image Pretraining on Language Assisted Representation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision MILAN: Masked Image Pretraining on Language Assisted Representation

Reference 17

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Source-reported events for the cited work

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Observation f1a167fb-9b71-4cf6-8e8b-2b2a90d831ea · outbound

This paper cites Pos-gift: A geomet- ric and intensity-invariant feature transformation for multi- modal images.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Pos-gift: A geomet- ric and intensity-invariant feature transformation for multi- modal images

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5a43f7f9-9a80-4934-8b3f-c736c28887f3 · outbound

This paper cites Multi-graph fusion and learning for rgbt im- age saliency detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multi-graph fusion and learning for rgbt im- age saliency detection

Reference 19

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Source-reported events for the cited work

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Observation f95a5d37-da2a-4085-9028-8841ad56268a · outbound

This paper cites Multispectral pedestrian detection: Benchmark dataset and baseline.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multispectral pedestrian detection: Benchmark dataset and baseline

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3e1274d6-9df0-462f-958f-a4ef46a3a77a · outbound

This paper cites Multispectral pedestrian detection: Benchmark dataset and baseline.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multispectral pedestrian detection: Benchmark dataset and baseline

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:45.010825Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 44c4dcd6-ea3c-4076-9662-45203f5ddaf9 · outbound

This paper cites Semanticrt: A large-scale dataset and method for robust semantic segmentation in multispectral images.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Semanticrt: A large-scale dataset and method for robust semantic segmentation in multispectral images

Reference 22

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 1c66585d-2008-42fc-9fc9-ec27c118435a · outbound

This paper cites Multispectral video se- mantic segmentation: A benchmark dataset and baseline.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multispectral video se- mantic segmentation: A benchmark dataset and baseline

Reference 23

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raw_fallback, observed 2026-08-06T15:18:44.460776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation d4a52f16-9b95-4f7d-97b0-77a412fd5b40 · outbound

This paper cites Llvip: A visible-infrared paired dataset for low-light vision.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Llvip: A visible-infrared paired dataset for low-light vision

Reference 24

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raw_fallback, observed 2026-08-06T15:18:44.235725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:21.666409Z digest=sha256:b18f71eb8eee3a20964f6f63a7dcdcd9560d2307b47488f2f4b710af08115b22

Observation 5f30e859-c301-441d-b686-249456ff3293 · outbound

This paper cites What to hide from your students: Attention-guided masked image modeling.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision What to hide from your students: Attention-guided masked image modeling

Reference 25

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Observation 67ac5a57-49c5-42ed-9968-3fd10733ecb2 · outbound

This paper cites Crossformer: Cross-guided attention for multi-modal object detection.Pat- tern Recognition Letters, 179:144–150, 2024.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Crossformer: Cross-guided attention for multi-modal object detection.Pat- tern Recognition Letters, 179:144–150, 2024

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3ac60b8e-4d10-4886-89dc-1a72608aafb1 · outbound

This paper cites Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multispectral Pedestrian Detection via Simultaneous Detection and Segmentation

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:22.045311Z digest=sha256:2de2a5c100ae6b341174a51717ae3d6e5bf300f66b6634f8624eeb9b6a181873

Observation 5527eecf-5f18-4e7d-9635-927bd07f9bb0 · outbound

This paper cites Lasher: A large-scale high- diversity benchmark for rgbt tracking.IEEE Transactions on Image Processing, 31:392–404, 2021.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Lasher: A large-scale high- diversity benchmark for rgbt tracking.IEEE Transactions on Image Processing, 31:392–404, 2021

Reference 28

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raw_fallback, observed 2026-08-06T15:18:43.762151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fff28392-3014-48f4-84b1-fd0ba553e912 · outbound

This paper cites Semmae: Semantic-guided mask- ing for learning masked autoencoders.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Semmae: Semantic-guided mask- ing for learning masked autoencoders

Reference 29

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raw_fallback, observed 2026-08-06T15:18:43.514827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:22.432390Z digest=sha256:9f4308be66c3ab17e20b1f22542d8a91a2b0ccc4b01b7d064da6b275573f874c

Observation e05d2c8a-4709-47bb-8b2c-b79f38793ad7 · outbound

This paper cites Rift: Multi-modal image matching based on radiation-variation insensitive fea- ture transform.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Rift: Multi-modal image matching based on radiation-variation insensitive fea- ture transform

Reference 30

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raw_fallback, observed 2026-08-06T15:18:43.317055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:22.592268Z digest=sha256:e3abcd229a60c6785787c9c27a0f54c2453f75cc9f1a5f8be7dbdf82ec946857

Observation bd1b5fe3-f834-4c3b-9f21-5b931d74722e · outbound

This paper cites Confidence-aware fusion using dempster- shafer theory for multispectral pedestrian detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Confidence-aware fusion using dempster- shafer theory for multispectral pedestrian detection

Reference 31

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raw_fallback, observed 2026-08-06T15:18:43.071769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 563676bb-3965-4bfc-803d-cd93c7df7745 · outbound

This paper cites Saratr-x: Toward building a foundation model for sar target recognition.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Saratr-x: Toward building a foundation model for sar target recognition

Reference 32

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raw_fallback, observed 2026-08-06T15:18:42.789636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:22.919691Z digest=sha256:6cf6c834b2a9939da117e24beb114770d995e5b98a63857b62d47351f994f3a8

Observation edcd953c-adcd-4ab7-b70c-1b5db1429871 · outbound

This paper cites Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Generalized focal loss: Learning qualified and distributed bounding boxes for dense object detection

Reference 33

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raw_fallback, observed 2026-08-06T15:18:42.585309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:23.132441Z digest=sha256:e834e76eeda4580c5688566512440d92a947cc3273500e07634285f1e5206349

Observation c50aa9ce-3ee6-442c-b0f8-e4a251e5b94d · outbound

This paper cites Exploring plain vision transformer backbones for object de- tection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Exploring plain vision transformer backbones for object de- tection

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T15:18:42.395617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:23.246815Z digest=sha256:f935a0370885cd91fb3b7269935eec02c50dd730598ce874ac1546348f18bd4d

Observation 0042fdba-0869-4dd0-8df5-8fe047c1bd76 · outbound

This paper cites Lightglue: Local feature matching at light speed.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Lightglue: Local feature matching at light speed

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:42.174865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:23.356455Z digest=sha256:6c9d857fbf0d3b1861ccffe1b040f3a5448a16820ccf9e0626fd3e2caaeccf1b

Observation c484f5b8-07bb-48c6-bd19-fa53a0901cdb · outbound

This paper cites Infmae: A foundation model in the infrared modality.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Infmae: A foundation model in the infrared modality

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:41.895390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:23.478882Z digest=sha256:000999846a7fb13b49e20755f6e8ce3bfb5700bbfa60da8ffa1dd7a3d25ce03d

Observation 36e7c057-4f64-4e7c-a860-f50fa0404027 · outbound

This paper cites Multispectral Deep Neural Networks for Pedestrian Detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multispectral Deep Neural Networks for Pedestrian Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:23.608139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:23.608139Z digest=sha256:fdaae1e5b687a0d6ef929137b6681586a5e9fdf2faafab18574654c96253358c

Observation 9c0ef9fe-54dd-4b62-bfe6-aec2699223e1 · outbound

This paper cites Multi- interactive feature learning and a full-time multi-modality benchmark for image fusion and segmentation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multi- interactive feature learning and a full-time multi-modality benchmark for image fusion and segmentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:41.673417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:23.717102Z digest=sha256:b056dc6d463b03e95e1d094002f845f1fb8bf034679d6d95b6f995dd5ba553fd

Observation 972a2357-ebac-4d18-81ad-d9e012dabff3 · outbound

This paper cites Learning selective self-mutual attention for rgb-d saliency detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Learning selective self-mutual attention for rgb-d saliency detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:41.426726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:23.848618Z digest=sha256:74bcb87a9b62a86a77668712822dba32f2bc48c29094f4729e8de5facaaa65a8

Observation 30504827-507e-4a7a-8508-0841cd5a7a3c · outbound

This paper cites Local memory attention for fast video semantic segmentation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Local memory attention for fast video semantic segmentation

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:41.177473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.011554Z digest=sha256:a8a73fc1d342de3b57803d8eddf6e4cf9ab3814bdaea8da5c7a34282e0e3776a

Observation a5d55659-dcd5-4852-bd93-63da4a9ddcbb · outbound

This paper cites Cross-Modality Fusion Transformer for Multispectral Object Detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Cross-Modality Fusion Transformer for Multispectral Object Detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:24.156472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:24.156472Z digest=sha256:36d173c7add8503dfbcd82fdff348ede5312aaba0cb1140a68d6870173344fb8

Observation 8d6e959a-60eb-4823-912f-0e117f12e489 · outbound

This paper cites Icafusion: Iterative cross-attention guided feature fusion for multispectral object detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Icafusion: Iterative cross-attention guided feature fusion for multispectral object detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:40.930122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.255143Z digest=sha256:cfd1b48a9d3cedb495258d4422c6f207bb1c41422afee38f31e8292172659b5e

Observation d582a157-e34e-49b4-9e39-745415916cf7 · outbound

This paper cites Pst900: Rgb- thermal calibration, dataset and segmentation network.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Pst900: Rgb- thermal calibration, dataset and segmentation network

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:40.655928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.353550Z digest=sha256:3216fe3433dca12fef896af285646df952e38fee70357f7f6e8e2d39aaeee8c7

Observation a3716968-bce4-4e4f-8e72-92fac309ea3c · outbound

This paper cites Multiple graph affinity interactive network and a variable il- lumination dataset for rgbt image salient object detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multiple graph affinity interactive network and a variable il- lumination dataset for rgbt image salient object detection

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:40.351365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.432926Z digest=sha256:55192ae79a7b4c385a971ff5137f581ae7d8ed225cf9bc105c89d3ab4adfa422

Observation 776100b1-d643-45d7-a2b4-f37807387d8d · outbound

This paper cites Loftr: Detector-free local feature matching with transformers.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Loftr: Detector-free local feature matching with transformers

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:40.130789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.535469Z digest=sha256:2c287c5b61e4bcd23f3376d808bc78d11e39695fa61202744c26b7191335c2b6

Observation 32fce89f-08d6-41dc-94f4-0675c2edd515 · outbound

This paper cites Rtfnet: Rgb- thermal fusion network for semantic segmentation of urban scenes.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Rtfnet: Rgb- thermal fusion network for semantic segmentation of urban scenes

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:39.905351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.604516Z digest=sha256:be4241a880a42fabcdd2260fd4457607e2284d2ab7f8ff2afdb2356b729f4b2e

Observation 6fc6d81c-ad99-4029-9200-7c326f2fd918 · outbound

This paper cites Rgb-t image saliency detection via collaborative graph learning.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Rgb-t image saliency detection via collaborative graph learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:39.675386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.740161Z digest=sha256:f5783d5282fd9dd6932666d9a3ad1db1e78b430bf0a3f618941dbd0c2e03fa7d

Observation d630c9da-6def-423e-9bc9-a49c7524eec9 · outbound

This paper cites Multi-interactive encoder-decoder network for rgbt salient object detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multi-interactive encoder-decoder network for rgbt salient object detection

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:39.381149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.852425Z digest=sha256:9637fcdd0a4105d3b94338725fc58cb4710c356aa7eb2cd934695694cf382364

Observation 30e3c5c7-992c-4cc5-a8d4-be8b5031ff76 · outbound

This paper cites Multi-interactive dual-decoder for rgb-thermal salient object detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multi-interactive dual-decoder for rgb-thermal salient object detection

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:39.121305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:24.978333Z digest=sha256:9a5acd17ac26c4a23b9071730cfa33d08e4e0f858919e19c37d273319ee9b1cc

Observation 8bbca9b8-ee32-4517-baa1-4cfb2090089e · outbound

This paper cites Rgbt salient object detection: A large- scale dataset and benchmark.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Rgbt salient object detection: A large- scale dataset and benchmark

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:38.875618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:25.121344Z digest=sha256:0b211da6ad36154cb56f9df0f4b94c78fe7eb737aa8ecd5bd61c5a6e635a2c22

Observation 5dc56d59-87ee-4aaf-ab42-ccc56ebdaa86 · outbound

This paper cites HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:25.256613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:25.256613Z digest=sha256:88e549d86f4588ab24dd76bf8b65e1682373062af424f5363d65b082ca850eed

Observation f09950fe-abe2-450f-a846-8bbd5640dbed · outbound

This paper cites Rgb-t saliency detection benchmark: Dataset, baselines, analysis and a novel approach.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Rgb-t saliency detection benchmark: Dataset, baselines, analysis and a novel approach

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:38.632384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:25.361056Z digest=sha256:d68674672e39cd4ebd4413021f8a2c197724b9eef730687388c1b35cbccd4348

Observation 024a49df-aa54-4800-a2f0-333b8870a7b0 · outbound

This paper cites Hard patches mining for masked image modeling.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Hard patches mining for masked image modeling

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:38.378331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:25.472691Z digest=sha256:3bb0b4365253a73b489a7c9b6f1a59339820f2bfb376d4908e2055469d6e4aaa

Observation 7603ebba-8587-4178-8ce1-524f341f7502 · outbound

This paper cites Cgfnet: Cross-guided fusion network for rgb-t salient object detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Cgfnet: Cross-guided fusion network for rgb-t salient object detection

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:38.105423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:25.575977Z digest=sha256:aea36d5df70b91f33ec7f035b446fa4a9f4143c7d5bdfc1c59ff573c9b884cd9

Observation a28973bb-fe66-46eb-a802-489d1fc0e1b5 · outbound

This paper cites Sgfnet: semantic- guided fusion network for rgb-thermal semantic segmenta- tion.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Sgfnet: semantic- guided fusion network for rgb-thermal semantic segmenta- tion

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:37.892776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:25.704948Z digest=sha256:2c20a8d2b3b9cd6926366d2926c3e97a76376e8f503e1fc0f9b206a518f450e2

Observation a24eeddd-b2de-4b8b-b410-7103df39f119 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Image quality assessment: from error visibility to structural similarity

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:37.664248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:25.840867Z digest=sha256:f5fdf289b2c933cbc5e79d781b64ac2f4c493945825cdd03856c3a071b664cd6

Observation 74c62848-1178-469d-aa86-4d5e55365856 · outbound

This paper cites Tirdet: Mono-modality thermal infrared object detection based on prior thermal-to-visible translation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Tirdet: Mono-modality thermal infrared object detection based on prior thermal-to-visible translation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:37.511343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:26.016052Z digest=sha256:609090ef48215789416c3b51ba655f99ac00feea58c2aa9eee4f99700d15973b

Observation 15c2c8d7-3e35-4e04-924a-2f33a8fa8882 · outbound

This paper cites Object-wise Masked Autoencoders for Fast Pre-training.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Object-wise Masked Autoencoders for Fast Pre-training

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:18:29.861145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:26.176581Z digest=sha256:b7cbea1019c9808e3142bcac22ebe37fde47ce8e5b6ad54a9c09d96b47ad88ab

Observation 4a368247-c597-4ba8-b320-6bf730b51a53 · outbound

This paper cites Unified perceptual parsing for scene understand- ing.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Unified perceptual parsing for scene understand- ing

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:37.301348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:26.304589Z digest=sha256:3d9a12d54cac2ef389de58828254ae1b05541dbb85df640717ea1c732b70f72d

Observation 7b9bceae-6945-4ab4-a6e7-ff13b4b1149a · outbound

This paper cites Early convolutions help trans- formers see better.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Early convolutions help trans- formers see better

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:37.121789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:26.420932Z digest=sha256:bf5e1016adf104a7539d11c16c9ee58d8ed708ade1aedb1c19c9d9ea86e5bf4a

Observation f9232427-c256-4bee-813b-835b78a47631 · outbound

This paper cites Segformer: Simple and efficient design for semantic segmentation with transform- ers.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Segformer: Simple and efficient design for semantic segmentation with transform- ers

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:36.863317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:26.509897Z digest=sha256:bb4f42a191f37a0eea203b151870704b8ea43e7d43fd0bc3adcec95d64effb56

Observation 0c3b6c3a-630b-41e7-9f8a-6b99ea317684 · outbound

This paper cites Semantics lead all: Towards unified image registration and fusion from a semantic perspective.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Semantics lead all: Towards unified image registration and fusion from a semantic perspective

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:36.560050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:26.578515Z digest=sha256:703ce097734aa46300388253788d396cf201c6745f19f97ade49350985470b48

Observation 64f4db7f-071b-4cb7-92fc-cb493c9e21da · outbound

This paper cites EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:26.731053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:26.731053Z digest=sha256:580992283ee585949a36c4b649c0c092c6b244da0837a45cba8ed96b2800cc15

Observation 59ce5e09-8054-4f2d-bbc6-b0337172aecf · outbound

This paper cites C 2 former: Calibrated and complementary transformer for rgb-infrared object de- tection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision C 2 former: Calibrated and complementary transformer for rgb-infrared object de- tection

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:36.116926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:26.879020Z digest=sha256:7212f04e53c0435eefa9237f863a2b20c7923fcf97f05c28a5b47454695846db

Observation 0467d0d4-8753-4ed1-95f9-9ddf6a6133ab · outbound

This paper cites Transla- tion, scale and rotation: cross-modal alignment meets rgb- infrared vehicle detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Transla- tion, scale and rotation: cross-modal alignment meets rgb- infrared vehicle detection

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:35.734915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:26.946437Z digest=sha256:7e01de7a056d64eae2338572f67c5a87a58d38ba6cbb4c1763e1067eb73d04d2

Observation 831590ef-624c-4a47-90b3-e37e25b2a22b · outbound

This paper cites Unirgb-ir: A unified framework for visible-infrared downstream tasks via adapter tuning.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Unirgb-ir: A unified framework for visible-infrared downstream tasks via adapter tuning

Reference 66

Resolution
verified exact
raw_fallback, observed 2026-08-06T15:18:29.718363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.007889Z digest=sha256:a5dfc2b767f534ca21ef85d1c4a1e94c8d43f76f8ebb8cd45a8df7c9189d88ce

Observation eec78eaa-d9a0-428a-88dc-d44e17dc9880 · outbound

This paper cites Improving rgb-infrared object detection with cascade alignment-guided transformer.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Improving rgb-infrared object detection with cascade alignment-guided transformer

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:35.406625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.149417Z digest=sha256:4735bd1912e4249397482d38c4a473d34347f447f886aee3e62cbb0c1fb0eeca

Observation 87d4dd14-b968-4528-b75d-f014502e9b0a · outbound

This paper cites Object- contextual representations for semantic segmentation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Object- contextual representations for semantic segmentation

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:35.106773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.271528Z digest=sha256:5ba8d50e02e745b0cb94a816dc993ba267f378aa41e42a16eaea0b850b3c0544

Observation e0e15432-f5c6-4268-be9c-607cb5c03fdc · outbound

This paper cites Infusion-net: inter-and intra-weighted cross-fusion network for multispectral object detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Infusion-net: inter-and intra-weighted cross-fusion network for multispectral object detection

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:34.715000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.406381Z digest=sha256:fcf93080d7b02646d2632282e2123f84def314cae71e65a35f4bd8d51a71c005

Observation 3c063278-dccc-4cc2-925c-d0955f70e683 · outbound

This paper cites Mmi- det: Exploring multi-modal integration for visible and in- frared object detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Mmi- det: Exploring multi-modal integration for visible and in- frared object detection

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:34.368260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.554499Z digest=sha256:3b82d82cc177aa0401e5d4b9805c0490cdd0efa227c260c44eff1fbdd2621ad2

Observation b0a73ca1-a70c-4b45-a99d-9596c0c2c4ee · outbound

This paper cites Multispectral fusion for object detection with cyclic fuse-and-refine blocks.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Multispectral fusion for object detection with cyclic fuse-and-refine blocks

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:33.989968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.635121Z digest=sha256:a23b41dca4911ca2c4c93f2a2f6580168c4e49d44216f7c7a5f218aa156ec906

Observation 2a09ccab-ace5-4d36-ae25-8fa12e1a4c4f · outbound

This paper cites Guided attentive feature fusion for multispectral pedestrian detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Guided attentive feature fusion for multispectral pedestrian detection

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:33.605120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.785278Z digest=sha256:55a4815c74c9c02aeeb4eaaf5c9e2780ce3bb561739e56c293c9ae188a999d07

Observation e508ce9f-90dd-4767-bd80-5897bd21aa4e · outbound

This paper cites Mrfs: Mutually reinforcing image fusion and segmenta- tion.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Mrfs: Mutually reinforcing image fusion and segmenta- tion

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:33.226818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.901089Z digest=sha256:0550af9da2dab250e04fbb3009f59733b6372886fb00f185ba3304c1d72c3378

Observation bc50c436-24c7-411b-bf00-06be44d6474b · outbound

This paper cites Cross-modality interactive attention network for multispectral pedestrian de- tection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Cross-modality interactive attention network for multispectral pedestrian de- tection

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:32.860243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:27.972828Z digest=sha256:8a26460046acc84cb0961bdfd9eb4add6417ef428680a91708c07e7e0825d125

Observation d04d0ff7-1777-4a39-bc79-5698ff7b9a2e · outbound

This paper cites Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection

Reference 75

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:18:29.505739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:28.133129Z digest=sha256:814a6eca8f77a446bd23ff34b159f349ad98eb900f6ef07850ab0452c44f0939

Observation 391600ba-f51e-480c-8fbf-33c7e0561770 · outbound

This paper cites Rgb-t salient object detec- tion via fusing multi-level cnn features.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Rgb-t salient object detec- tion via fusing multi-level cnn features

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:32.454652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:28.246384Z digest=sha256:1ab93312a83229f530cc15530c1091ce72938502f446fd674db8eb08d6f2b0f5

Observation 8757a2cd-11ce-46cb-9ef0-80fd68d9521c · outbound

This paper cites Abmdrnet: Adaptive-weighted bi-directional modality difference reduc- tion network for rgb-t semantic segmentation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Abmdrnet: Adaptive-weighted bi-directional modality difference reduc- tion network for rgb-t semantic segmentation

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:32.123937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:28.396941Z digest=sha256:2d3a1586a32d3d588adf40d6cf3ed90b2229c70f5be3e0acff3d04a5515e1f0a

Observation 30c6e76e-b3c0-44ee-8957-ed37199f0b75 · outbound

This paper cites Mitigating modality discrepancies for rgb-t semantic segmentation.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Mitigating modality discrepancies for rgb-t semantic segmentation

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:31.790123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:28.527189Z digest=sha256:c81b8a0d6610d8fc1d26e5d8de01ac64e795f38fa9bbd5c02a54135a4489ff54

Observation c12d4dd0-bca8-4488-886b-0f1f079df8dc · outbound

This paper cites Removal and selection: Improving rgb- infrared object detection via coarse-to-fine fusion.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Removal and selection: Improving rgb- infrared object detection via coarse-to-fine fusion

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T15:18:28.642748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:18:28.642748Z digest=sha256:968c36a6135489f0784452f682a770a6d5aaac34ddcf12fa4a78bc570a3e4cc3

Observation 3b868b17-7682-41a9-a6e1-9c2411a61bbc · outbound

This paper cites Improving mul- tispectral pedestrian detection by addressing modality im- balance problems.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Improving mul- tispectral pedestrian detection by addressing modality im- balance problems

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:31.466248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:28.776174Z digest=sha256:e50975801f57a9fd37ef716b9ed4199f6f1ac73175cd38e9e904cd2a551cd6b7

Observation 2cfb41fc-6e96-4efc-a9c8-520ce44f45cf · outbound

This paper cites Mffenet: Multiscale feature fusion and en- hancement network for rgb–thermal urban road scene pars- ing.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Mffenet: Multiscale feature fusion and en- hancement network for rgb–thermal urban road scene pars- ing

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:31.114531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:28.905138Z digest=sha256:1509d144c316e8db34dd7de951f05279e0fac4e63cdecab10c9affa359df46ac

Observation 512aba2d-5ce0-4b5f-9dcf-0a5b97ad51a5 · outbound

This paper cites Edge-aware guidance fusion network for rgb–thermal scene parsing.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Edge-aware guidance fusion network for rgb–thermal scene parsing

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:30.753979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:29.016668Z digest=sha256:50688d92413a9a2078902589002b798864dabc03837c396fbb618c177701f57e

Observation 3ac11f5a-79bc-48e8-84f8-6ee4fe43939c · outbound

This paper cites Lsnet: Lightweight spatial boosting network for de- tecting salient objects in rgb-thermal images.

M-SpecGene: Generalized Foundation Model for RGBT Multispectral Vision Lsnet: Lightweight spatial boosting network for de- tecting salient objects in rgb-thermal images

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:18:30.437447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:18:29.140260Z digest=sha256:44cc75844cfe76e6417c3196194dad31fc7cf24756afb79e4a48ff71ce887273

Pith citing papers

No inbound Pith citation observations are available.