Paper Citation Record · LEDGER

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning

As of 19 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.06665.

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

pith.paper-citation-record.v1
2505.06665 v1

Coverage vector

measured 42 of 42 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 9b1098a1-7817-458f-82b0-0dcf1671b33a · outbound

This paper cites Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 1

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Observation f284f412-e4b4-485d-ab01-69a2b3788f25 · outbound

This paper cites A unified architecture for natural language processing: Deep neural networks with multitask learning.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning A unified architecture for natural language processing: Deep neural networks with multitask learning

Reference 2

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Observation 5e457540-ee62-42d6-ad70-60c879c5b29e · outbound

This paper cites New types of deep neural network learning for speech recognition and related applications: An overview.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning New types of deep neural network learning for speech recognition and related applications: An overview

Reference 3

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Observation 72a8cbdc-14fe-473c-b83a-5fe1ee9e8494 · outbound

This paper cites The ciede2000 color-difference formula: Implementation notes, supplementary test data, and mathe- matical observations.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning The ciede2000 color-difference formula: Implementation notes, supplementary test data, and mathe- matical observations

Reference 4

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Observation 5d8250c3-d9d9-4b02-bbbd-c6d1e47b8043 · outbound

This paper cites Fast R-CNN.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Fast R-CNN

Reference 5

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Observation 4650ed15-02db-4dd8-866b-a890887854aa · outbound

This paper cites R-CNNs for Pose Estimation and Action Detection.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning R-CNNs for Pose Estimation and Action Detection

Reference 6

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Observation 02364cff-560c-41b2-91c4-e97b545d4761 · outbound

This paper cites Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Multi-task learning using uncertainty to weigh losses for scene geome- try and semantics

Reference 7

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Observation 47d29c10-a4ff-4a7c-9363-c2838d219909 · outbound

This paper cites DenseFuse: A fusion approach to infrared and visible images.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning DenseFuse: A fusion approach to infrared and visible images

Reference 8

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Observation c7d1d499-3745-47c5-a97e-a320bab5273f · outbound

This paper cites Target- aware dual adversarial Learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Target- aware dual adversarial Learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection

Reference 9

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Observation d3a93b42-f06f-432e-93f6-078b53c6da53 · outbound

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

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Multi-interactive feature learning and a full-time multi-modality benchmark for image fusion and segmentation

Reference 10

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Observation 46b7afa1-3ce4-4a5b-8138-b89a64c61e78 · outbound

This paper cites A task-guided, implicitly-searched and metainitialized deep model for image fusion.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning A task-guided, implicitly-searched and metainitialized deep model for image fusion

Reference 11

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Observation 8186ea0b-8b79-43f6-be33-d97faa1b85d1 · outbound

This paper cites Infrared and visible image fusion with convolutional neural networks.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Infrared and visible image fusion with convolutional neural networks

Reference 12

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Observation d632750c-5519-4232-a48e-616c69b0921e · outbound

This paper cites Paif: Perception-aware infrared-visible im- age fusion for attack-tolerant semantic segmentation.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Paif: Perception-aware infrared-visible im- age fusion for attack-tolerant semantic segmentation

Reference 13

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Observation 40240167-8559-44be-af61-d7eb76a11454 · outbound

This paper cites Infrared and visible im- age fusion methods and applications: A survey.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Infrared and visible im- age fusion methods and applications: A survey

Reference 14

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Observation 443ae9a0-b347-4faa-bb67-6cea584aece3 · outbound

This paper cites Fusiongan: A generative adversarial network for in- frared and visible image fusion.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Fusiongan: A generative adversarial network for in- frared and visible image fusion

Reference 15

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Observation 2b0cfc3d-3bed-4132-956c-02e62af41afc · outbound

This paper cites SwinFusion: Cross- domain Long-range Learning for General Image Fusion via Swin Transformer.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning SwinFusion: Cross- domain Long-range Learning for General Image Fusion via Swin Transformer

Reference 16

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Observation 60b7f19d-130b-4cfb-b7c9-a9e98ec4dbe0 · outbound

This paper cites AT- GAN: A generative adversarial network with attention and transition for infrared and visible image fusion.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning AT- GAN: A generative adversarial network with attention and transition for infrared and visible image fusion

Reference 17

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This paper cites Learning multiple visual domains with residual adapters.Ad- vances in neural information processing systems , 30, 2017.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Learning multiple visual domains with residual adapters.Ad- vances in neural information processing systems , 30, 2017

Reference 18

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Observation 1b3b56c1-5bff-48ee-889a-4e4f70bdfb06 · outbound

This paper cites ” grabcut” interactive foreground extraction using iterated graph cuts.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning ” grabcut” interactive foreground extraction using iterated graph cuts

Reference 19

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Observation 207f810f-ddd7-49be-a7e4-5f742d05adb9 · outbound

This paper cites An Overview of Multi-Task Learning in Deep Neural Networks.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning An Overview of Multi-Task Learning in Deep Neural Networks

Reference 20

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Observation 37935ea7-4597-4688-b4ab-88c875a21b3e · outbound

This paper cites OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Reference 21

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Observation b8482155-0551-41fb-82be-b92225e5d607 · outbound

This paper cites Deep visible and thermal image fusion for enhanced pedes- trian visibility.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Deep visible and thermal image fusion for enhanced pedes- trian visibility

Reference 22

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Observation 5bf06ddb-e0c0-4ee5-91bc-73c5be90193b · outbound

This paper cites Generalised dice overlap as a deep learning loss function for highly unbalanced seg- mentations.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Generalised dice overlap as a deep learning loss function for highly unbalanced seg- mentations

Reference 23

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Observation bbb4101c-9968-4625-9288-4bd94d2cc1e1 · outbound

This paper cites Det- fusion: A detection-driven infrared and visible image fusion network.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Det- fusion: A detection-driven infrared and visible image fusion network

Reference 24

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Observation 4bbd9515-5114-41ea-9f84-50fb684084db · outbound

This paper cites SuperFusion: A versatile image registration and fusion ix network with semantic awareness.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning SuperFusion: A versatile image registration and fusion ix network with semantic awareness

Reference 25

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Observation 9138bee5-0d7d-4594-83d0-fc2804053a07 · outbound

This paper cites Image fusion in the loop of high-level vision tasks: A semantic-aware real- time infrared and visible image fusion network.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Image fusion in the loop of high-level vision tasks: A semantic-aware real- time infrared and visible image fusion network

Reference 26

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Observation 39b860f5-512c-49e2-a065-88bdd2a8dbd3 · outbound

This paper cites Piafusion: A progressive infrared and visible im- age fusion network based on illumination aware.Information Fusion, 83:79–92, 2022.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Piafusion: A progressive infrared and visible im- age fusion network based on illumination aware.Information Fusion, 83:79–92, 2022

Reference 27

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Observation c47dd054-892e-4419-a36c-a9a3d88ff4a8 · outbound

This paper cites YDTR: infrared and visible image fusion via y-shape dynamic transformer.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning YDTR: infrared and visible image fusion via y-shape dynamic transformer

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.252082Z

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Observation b7bc82c6-986a-421d-90ef-94e929d1f227 · outbound

This paper cites An inter- actively reinforced paradigm for joint infrared-visible image fusion and saliency object detection.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning An inter- actively reinforced paradigm for joint infrared-visible image fusion and saliency object detection

Reference 29

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Observation b568e662-5062-44fc-81b5-02e7574450e0 · outbound

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

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Image quality assessment: from error visibility to structural similarity

Reference 30

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Observation ca2481dd-61a3-4ec3-a7b6-86afa2292760 · outbound

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

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Segformer: Simple and efficient design for semantic segmentation with transform- ers

Reference 31

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Observation 700687f4-5c39-40fa-81fd-f0658f3b1669 · outbound

This paper cites U2fusion: A unified unsupervised image fusion net- work.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning U2fusion: A unified unsupervised image fusion net- work

Reference 32

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Observation 3814c11f-2f46-484f-bce3-13dc4c49bf37 · outbound

This paper cites Advanced corrective training strategy for surrogating complex hysteretic behavior.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Advanced corrective training strategy for surrogating complex hysteretic behavior

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.175054Z

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Observation 01227af2-3eed-4a78-aa2d-1908f316e375 · outbound

This paper cites Demt: De- formable mixer transformer for multi-task learning of dense prediction.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Demt: De- formable mixer transformer for multi-task learning of dense prediction

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.157984Z

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Observation ecdfc2e6-cb9d-4609-afaa-982cd4094d0e · outbound

This paper cites Dif-fusion: Towards high color fidelity in infrared and visi- ble image fusion with diffusion models.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Dif-fusion: Towards high color fidelity in infrared and visi- ble image fusion with diffusion models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.143050Z

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Observation 45902d71-b353-4eb1-b744-17816b61785a · outbound

This paper cites MRFS: Mutually Reinforcing Image Fusion and Segmentation.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning MRFS: Mutually Reinforcing Image Fusion and Segmentation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.126907Z

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Observation 1d35e691-c08c-44da-a3a6-e8e4c0b9be92 · outbound

This paper cites Transformer based conditional gan for multimodal image fusion.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Transformer based conditional gan for multimodal image fusion

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.109950Z

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Observation 40ec1647-6b98-4516-b5f3-d26f482ceafb · outbound

This paper cites Visible and infrared image fusion using deep learning.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 45(8):10535–10554,.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Visible and infrared image fusion using deep learning.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 45(8):10535–10554,

Reference 38

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Source-reported events for the cited work

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Observation 05dca5dc-5d80-43de-a28c-5386aa854bc1 · outbound

This paper cites Object fusion tracking based on visible and infrared images using fully convolutional siamese networks.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Object fusion tracking based on visible and infrared images using fully convolutional siamese networks

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.084728Z

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Observation 3cbb794c-ab73-49ef-b8d9-19a12ddf4ccd · outbound

This paper cites VIFB: A visi- ble and infrared image fusion benchmark.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning VIFB: A visi- ble and infrared image fusion benchmark

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.069479Z

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Observation c633ff2f-1c36-4119-951a-e53654dcb297 · outbound

This paper cites Cddfuse: Correlation-driven dual-branch feature decompo- sition for multi-modality image fusion.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Cddfuse: Correlation-driven dual-branch feature decompo- sition for multi-modality image fusion

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.054021Z

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Observation 4f3a6419-ead1-41f3-9dee-0d82235647e7 · outbound

This paper cites Equivariant multi-modality image fusion.

MultiTaskVIF: Segmentation-oriented visible and infrared image fusion via multi-task learning Equivariant multi-modality image fusion

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:40:40.037935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.