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Paper Citation Record · LEDGER

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.12324.

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

pith.paper-citation-record.v1
2506.12324 v2

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:59:10.421046Z

measured 56 of 56 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

56 of 56 outbound references displayed

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  • verified fuzzy50
  • unresolved5
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33df2b4a-7118-4e0b-9d08-90c37b73341c · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers YOLOX: Exceeding YOLO Series in 2021

Reference 1

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 08b74ccc-1f88-484c-99a0-cc5b9c85909c · outbound

This paper cites Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Perception and sensing for autonomous vehicles under adverse weather conditions: A survey,

Reference 2

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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 d32571de-8c2d-4f25-b015-07668c9ea4d7 · outbound

This paper cites Learning to remove bad weather: Towards robust visual perception for self-driving,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Learning to remove bad weather: Towards robust visual perception for self-driving,

Reference 3

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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 21f1928a-1a61-4e44-bfa5-721d5c5ef239 · outbound

This paper cites Object detection in 20 years: A survey,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Object detection in 20 years: A survey,

Reference 4

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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 d2727097-be7b-4854-b3ea-39cdd8733b5e · outbound

This paper cites Earth- Marker: A visual prompting multi-modal large language model for remote sensing,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Earth- Marker: A visual prompting multi-modal large language model for remote sensing,

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 777bccbb-fed4-42de-9549-4838f4a92d7a · outbound

This paper cites EarthGPT: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers EarthGPT: A universal multi-modal large language model for multi-sensor image comprehension in remote sensing domain,

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 2a0fcafb-7c4c-4b03-97db-2556667219ae · outbound

This paper cites Adamixer: A fast-converging query- based object detector,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Adamixer: A fast-converging query- based object detector,

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 4012548d-3ae8-4a33-b6ab-4e6125e75866 · outbound

This paper cites Image-adaptive yolo for object detection in adverse weather conditions,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Image-adaptive yolo for object detection in adverse weather conditions,

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 05e0fd9d-e9c4-4612-bbbf-cef30ea09aae · outbound

This paper cites Improving nighttime driving-scene segmentation via dual image-adaptive learnable filters,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Improving nighttime driving-scene segmentation via dual image-adaptive learnable filters,

Reference 9

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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 78be9aae-fe0c-4383-8c06-b61fc7f45fa5 · outbound

This paper cites Gdip: Gated differentiable image processing for object detection in adverse conditions,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Gdip: Gated differentiable image processing for object detection in adverse conditions,

Reference 10

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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 c301422a-c091-4ff7-9e2e-e97f0eb68e0d · outbound

This paper cites Detection-driven exposure-correction network for nighttime drone-view object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Detection-driven exposure-correction network for nighttime drone-view object detection,

Reference 11

Resolution
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raw_fallback, observed 2026-08-07T00:59:22.679997Z

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 cd3b3bea-3af5-4f03-bc46-50ed3d4e5a2d · outbound

This paper cites CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers CPA-Enhancer: Chain-of-Thought Prompted Adaptive Enhancer for Object Detection under Unknown Degradations

Reference 12

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local_arxiv, observed 2026-08-07T00:59:10.771598Z

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 0f7a058f-c514-4d63-94f3-4f8fe945c5b9 · outbound

This paper cites Unsupervised domain adaptation of object detectors: A survey,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Unsupervised domain adaptation of object detectors: A survey,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:22.347921Z

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=2026-08-07T00:59:03.091478Z digest=sha256:c04c96acda2fd8ad12dc831dda2c47d01549cd1332bf89eb921613ee76f3a132

Observation 9db63f4c-2ebe-4a69-8e9e-a294bb34544d · outbound

This paper cites Cross-domain object detection for autonomous driving: A stepwise domain adaptative yolo approach,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Cross-domain object detection for autonomous driving: A stepwise domain adaptative yolo approach,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:22.077226Z

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 1e5b7bc8-babc-4997-a02f-74788c7d019b · outbound

This paper cites Togethernet: Bridging image restoration and object detection together via dynamic enhancement learning,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Togethernet: Bridging image restoration and object detection together via dynamic enhancement learning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:21.791080Z

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 7448aa9d-e651-45af-a251-86937ab48a1c · outbound

This paper cites Dsnet: Joint semantic learning for object detection in inclement weather conditions,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Dsnet: Joint semantic learning for object detection in inclement weather conditions,

Reference 16

Resolution
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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 19a4f522-8b44-4f1e-9d84-13293302eff8 · outbound

This paper cites Dehazing & reasoning yolo: Prior knowledge-guided network for object detection in foggy weather,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Dehazing & reasoning yolo: Prior knowledge-guided network for object detection in foggy weather,

Reference 17

Resolution
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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 6cf4ac70-4be0-4c5e-8e0c-cb4cbedf2528 · outbound

This paper cites Mdd-shipnet: Math-data integrated defogging for fog-occlusion ship detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Mdd-shipnet: Math-data integrated defogging for fog-occlusion ship detection,

Reference 18

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raw_fallback, observed 2026-08-07T00:59:20.883792Z

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=2026-08-07T00:59:03.936282Z digest=sha256:f8bd65591e022a7552dad9167f13a704ede8cf0139c3289468c7a072c86cb923

Observation abafca12-8d73-4302-ab38-b2066e50ee4c · outbound

This paper cites Fcanet: Frequency channel attention networks,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Fcanet: Frequency channel attention networks,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:20.679472Z

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 4f4a6b70-bfb9-447c-b620-c69402a0797d · outbound

This paper cites Boosting night-time scene parsing with learnable frequency,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Boosting night-time scene parsing with learnable frequency,

Reference 20

Resolution
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raw_fallback, observed 2026-08-07T00:59:20.488848Z

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=2026-08-07T00:59:04.397260Z digest=sha256:f62479d280cef3026d784f3c4227cb1256ed363359bac234b373f050b4d7e763

Observation 128c0dcb-50f4-4cde-8438-a38582646318 · outbound

This paper cites Discrete cosine transform,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Discrete cosine transform,

Reference 21

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raw_fallback, observed 2026-08-07T00:59:20.218448Z

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 5dfa2135-9afc-44f0-9e4c-3d64710e5d8c · outbound

This paper cites Libra r-cnn: Towards balanced learning for object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Libra r-cnn: Towards balanced learning for object detection,

Reference 22

Resolution
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raw_fallback, observed 2026-08-07T00:59:20.093120Z

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 33e226a1-a879-49c1-b3f5-3b66295a0751 · outbound

This paper cites Dynamic r-cnn: Towards high quality object detection via dynamic training,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Dynamic r-cnn: Towards high quality object detection via dynamic training,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:19.641982Z

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 bf29aa8d-4043-4339-bb41-59cf64d81c9b · outbound

This paper cites Selective search for object recognition,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Selective search for object recognition,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-07T00:59:19.394858Z

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 b6229fd3-6fe4-4c9b-9d8a-fde227099137 · outbound

This paper cites Ssd: Single shot multibox detector,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Ssd: Single shot multibox detector,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:19.179748Z

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 76971bb9-7b98-4554-8b89-45a5c416983c · outbound

This paper cites Focal loss for dense object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Focal loss for dense object detection,

Reference 26

Resolution
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raw_fallback, observed 2026-08-07T00:59:19.017492Z

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 db492352-5cf9-4d1a-8662-ba7710e39d4a · outbound

This paper cites Objects as Points.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Objects as Points

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T00:59:05.145693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 96cf9a42-eb6d-4007-9b09-de11bdc2f7f6 · outbound

This paper cites Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Yolov7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:18.792399Z

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 170e4c5b-aa85-4b2b-a93d-59ec5ff0a220 · outbound

This paper cites Yolov9: Learning what you want to learn using programmable gradient information,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Yolov9: Learning what you want to learn using programmable gradient information,

Reference 29

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raw_fallback, observed 2026-08-07T00:59:18.626152Z

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 4d1477a3-252a-49a3-a5bb-800fb68f70b6 · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers YOLOv10: Real-Time End-to-End Object Detection

Reference 30

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unresolved
no resolver link, observed 2026-08-07T00:59:05.662137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b8faee5-c432-4fbd-92e0-d091c2acc056 · outbound

This paper cites Spectral unsupervised domain adaptation for visual recognition,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Spectral unsupervised domain adaptation for visual recognition,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:18.413546Z

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 b271939b-d349-481c-89bf-f3c05645df21 · outbound

This paper cites Domain adaptive object detection for autonomous driving under foggy weather,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Domain adaptive object detection for autonomous driving under foggy weather,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:18.217989Z

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=2026-08-07T00:59:05.987475Z digest=sha256:e171e8b3fa5c9c5a2504e8744c60991b452019b01c8108c48cc9d15ed9fdbaf3

Observation b55526e8-efa2-4ab4-8fc5-e3b5e3fe8cdf · outbound

This paper cites 2pcnet: Two-phase consistency training for day-to-night unsupervised domain adaptive object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers 2pcnet: Two-phase consistency training for day-to-night unsupervised domain adaptive object detection,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:18.063861Z

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=2026-08-07T00:59:06.152351Z digest=sha256:f013b5f03bf8b2449552b66b82d1f1fe0e9bd809c80c147474ea06b98c51d8e9

Observation 85d4893a-a963-4bf0-a986-7b4c255b014a · outbound

This paper cites R-yolo: A robust object detector in adverse weather,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers R-yolo: A robust object detector in adverse weather,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:17.752351Z

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=2026-08-07T00:59:06.374080Z digest=sha256:500cd4fb29bd71d88c383d2fbd7ded92966fef62529fcb47ea7fea3e92a17dd7

Observation f3883159-c14e-4bc4-806f-ebf708596128 · outbound

This paper cites Mcnet: Magnitude consistency network for domain adaptive object detection under inclement environments,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Mcnet: Magnitude consistency network for domain adaptive object detection under inclement environments,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:17.440551Z

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=2026-08-07T00:59:06.562610Z digest=sha256:9c0d8c9349fec2e8b66ee15d03f5fdf0ce97d595f05ca75ae2689da02e0fe4f5

Observation 78b97b1e-cc0b-4410-afb7-d11cee73c40a · outbound

This paper cites Fsdr: Frequency space domain randomization for domain generalization,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Fsdr: Frequency space domain randomization for domain generalization,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:17.165180Z

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=2026-08-07T00:59:06.735482Z digest=sha256:f7820701c17d9244b0d4ab15f1e537c026493985053f2bd97edbc6f5e73d1867

Observation 5272673d-9dbe-4d8f-b264-4c4d07ab15ee · outbound

This paper cites Multitask aet with orthogonal tangent regularity for dark object detection,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Multitask aet with orthogonal tangent regularity for dark object detection,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:16.870642Z

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=2026-08-07T00:59:06.946334Z digest=sha256:3f5e61b58d43652f890f172d029dd1b11373368d2b4264d3559b3300dc8ba75f

Observation 0837527b-0f04-4a30-8437-42d1570ab8eb · outbound

This paper cites Coderainnet: Collaborative deraining network for drone-view object detection in rainy weather conditions,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Coderainnet: Collaborative deraining network for drone-view object detection in rainy weather conditions,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:16.590833Z

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=2026-08-07T00:59:07.112786Z digest=sha256:d916b302c7af18cbd89b469c0a955598d61a1800e8b09557c3624f8a3a66b198

Observation 35ad9b9b-fed7-4825-b085-4a399d43a23f · outbound

This paper cites 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers 3d semantic segmentation in the wild: Learning generalized models for adverse-condition point clouds,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:16.279822Z

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=2026-08-07T00:59:07.280507Z digest=sha256:dafd6796b057f03ddd308d0e2462819dd44f09c9168f5095fb45178992d73958

Observation d132f357-bc07-4124-b798-fdb0f2597192 · outbound

This paper cites Degradation modeling for restoration- enhanced object detection in adverse weather scenes,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Degradation modeling for restoration- enhanced object detection in adverse weather scenes,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:15.959798Z

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=2026-08-07T00:59:07.490284Z digest=sha256:55d7c3ab80f1e4361e7cb864792151666cf60943a70faf01772c2fedaa05e232

Observation 60e5d803-d21f-407e-bc49-cef34924d2cb · outbound

This paper cites Categorical reparametrization with gumble-softmax,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Categorical reparametrization with gumble-softmax,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:15.596783Z

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=2026-08-07T00:59:07.701674Z digest=sha256:e2aed92cd5ec612d7ee730d0da386a1312a973b20791f2c9d229e07f81a96cfd

Observation de953174-a49b-4dcd-8339-66f4c20fc1c6 · outbound

This paper cites Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Frequency learning attention networks based on deep learning for automatic modulation classification in wireless communication,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:15.259159Z

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=2026-08-07T00:59:07.906748Z digest=sha256:e1de79cfac1c2e97c6a1fd820fe0e292ba41be31d44096573311baeb05747fe5

Observation 1722135d-2d45-48d6-a95b-3afbe0909350 · outbound

This paper cites Restornet: An efficient network for multiple degradation image restoration,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Restornet: An efficient network for multiple degradation image restoration,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:14.910367Z

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=2026-08-07T00:59:08.052383Z digest=sha256:f9cf639d29dfe8317c2d292206327b5b5cdae9ea0782f68756754c18bab78ed3

Observation 401cbce7-3db4-4779-8e0f-fd00a2c77561 · outbound

This paper cites All-in-one image restoration for unknown corruption,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers All-in-one image restoration for unknown corruption,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:14.612006Z

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=2026-08-07T00:59:08.262342Z digest=sha256:05fcebb4c4ba6dad72488cbba43026780ba250d47fb9b1ff1c4f7ac7105cbe4d

Observation 4df15f74-2765-48fc-8aac-91882501c513 · outbound

This paper cites Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Learning multiple adverse weather removal via two-stage knowledge learning and multi-contrastive regularization: Toward a unified model,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:14.260564Z

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=2026-08-07T00:59:08.428760Z digest=sha256:b000959fa02febe8cc42e0ada734703a94992c79c349010aa6ed392a23ed6f06

Observation ea71a6f8-4e94-4a42-a841-0c4bf118d9f5 · outbound

This paper cites Lmqformer: A laplace-prior-guided mask query transformer for lightweight snow removal,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Lmqformer: A laplace-prior-guided mask query transformer for lightweight snow removal,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:13.885006Z

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=2026-08-07T00:59:08.572795Z digest=sha256:3cd1e59bc46d35db7ecc1cfd5c924338788b03abe90fa5ad9ab55b58d2d90cb4

Observation f1f365a7-fd53-4831-a184-09fd93867416 · outbound

This paper cites Single image haze removal using dark channel prior,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Single image haze removal using dark channel prior,

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T00:59:08.780185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:59:08.780185Z digest=sha256:75a3437e5b1dad67b35f5bbdc3341b22ca0ddc9a1844f3caacd95480ca44a59b

Observation 3c09f6eb-504c-4dac-8496-0f8406cdee47 · outbound

This paper cites Aod-net: All-in-one dehazing network,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Aod-net: All-in-one dehazing network,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:13.509066Z

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=2026-08-07T00:59:08.991705Z digest=sha256:4f86e401c8d9639775fa43b8ab23d8eb376bf486bc9199b0b64b1e133eec37ba

Observation dd5e0cc4-f0a1-4d82-8296-5edf98fcd04d · outbound

This paper cites Contrastive learning for compact single image dehazing,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Contrastive learning for compact single image dehazing,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:13.209926Z

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=2026-08-07T00:59:09.148249Z digest=sha256:af148cb121752be913285fe6a256d497490c62599ad31b7b78550ebb8d5116ba

Observation 7e985409-5250-4e2b-a03c-b2332a8281ec · outbound

This paper cites Zero-reference deep curve estimation for low-light image enhancement,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Zero-reference deep curve estimation for low-light image enhancement,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:12.895368Z

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=2026-08-07T00:59:09.317841Z digest=sha256:74ef6c390f0d0b8444bf72545c981d1eabcf2a76b0b57efa6d313f20b35ce2ae

Observation ad6f6ef0-165a-409d-acf9-706aa48c2c48 · outbound

This paper cites You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T00:59:09.490671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:59:09.490671Z digest=sha256:bdb94e39260ec1ce5cb26ed18ad03235dfcfe7a1166dbda62a6f0b2977bc1223

Observation 28ebd2a3-1fcd-4c58-a501-e585754cfab1 · outbound

This paper cites The pascal visual object classes (voc) challenge,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers The pascal visual object classes (voc) challenge,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:12.489269Z

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=2026-08-07T00:59:09.642116Z digest=sha256:b07b7dc8756f3802d0d72cdf9a117de92efabee7486a47a8c31a3a9e6dd8f79f

Observation 6abfbe52-3b19-438a-809c-8c66be56581e · outbound

This paper cites Removing raindrops and rain streaks in one go,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Removing raindrops and rain streaks in one go,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:12.211525Z

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=2026-08-07T00:59:09.835306Z digest=sha256:969e2d453b657a73dd29be9d367a150c9669ef761c901ba58cc66de95509b630

Observation d209cbe8-8d78-42d0-a1ff-32acef11783b · outbound

This paper cites All snow removed: Single image desnowing algo- rithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers All snow removed: Single image desnowing algo- rithm using hierarchical dual-tree complex wavelet representation and contradict channel loss,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:11.946311Z

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=2026-08-07T00:59:10.080136Z digest=sha256:d0a4eb9b05c04f19acbbf2ac88431129f419aa7450cd867cf2728efcd07ba5b8

Observation 71b7b88a-c452-406b-860e-dff3030a3f27 · outbound

This paper cites Benchmarking single-image dehazing and beyond,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Benchmarking single-image dehazing and beyond,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:11.504843Z

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=2026-08-07T00:59:10.275243Z digest=sha256:49f97769a22074cfbb1e2d2dcd083e11b25fa2f1732714e3e53495455e333c4a

Observation f5eb9d03-cffe-40d2-959c-d8d0bf988d10 · outbound

This paper cites Getting to know low-light images with the exclusively dark dataset,.

UniDet-D: A Unified Dynamic Spectral Attention Model for Object Detection under Adverse Weathers Getting to know low-light images with the exclusively dark dataset,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:59:11.182313Z

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=2026-08-07T00:59:10.421046Z digest=sha256:89622f52a235d83627868b9d75a2698b38712dad393723e97ff9bee694a9f2a2

Pith citing papers

No inbound Pith citation observations are available.