Task-driven Image Fusion with Learnable Fusion Loss | Paper Citation Record

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This paper cites Image fusion in remote sensing: An overview and meta-analysis.

Task-driven Image Fusion with Learnable Fusion Loss Image fusion in remote sensing: An overview and meta-analysis

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Task-driven Image Fusion with Learnable Fusion Loss Unresolved cited work

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This paper cites Simulta- neous automatic picking and manual picking refinement for first-break.

Task-driven Image Fusion with Learnable Fusion Loss Simulta- neous automatic picking and manual picking refinement for first-break

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This paper cites Deep unfolding multi-modal image fusion network via attri- bution analysis.

Task-driven Image Fusion with Learnable Fusion Loss Deep unfolding multi-modal image fusion network via attri- bution analysis

Reference 4

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This paper cites Refusion: Learning image fusion from reconstruction with learnable loss via meta-learning.

Task-driven Image Fusion with Learnable Fusion Loss Refusion: Learning image fusion from reconstruction with learnable loss via meta-learning

Reference 5

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This paper cites Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusion.

Task-driven Image Fusion with Learnable Fusion Loss Retinex-MEF: Retinex-based Glare Effects Aware Unsupervised Multi-Exposure Image Fusion

Reference 6

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This paper cites Meta-learning with task- adaptive loss function for few-shot learning.

Task-driven Image Fusion with Learnable Fusion Loss Meta-learning with task- adaptive loss function for few-shot learning

Reference 7

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This paper cites Pedestrian detection with un- supervised multispectral feature learning using deep neural networks.

Task-driven Image Fusion with Learnable Fusion Loss Pedestrian detection with un- supervised multispectral feature learning using deep neural networks

Reference 8

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This paper cites Segformer: Simple and efficient design for semantic segmentation with transformers.

Task-driven Image Fusion with Learnable Fusion Loss Segformer: Simple and efficient design for semantic segmentation with transformers

Reference 9

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This paper cites Deep convolutional neural network for multi-modal image restoration and fusion.

Task-driven Image Fusion with Learnable Fusion Loss Deep convolutional neural network for multi-modal image restoration and fusion

Reference 10

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Observation 2c63c2e7-e645-4b7f-bf70-0b1e5788f106 · outbound

This paper cites Model- agnostic meta-learning for fast adaptation of deep networks.

Task-driven Image Fusion with Learnable Fusion Loss Model- agnostic meta-learning for fast adaptation of deep networks

Reference 11

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Observation 96cd968e-6244-4bff-8c2c-c1b3d17d1dfd · outbound

This paper cites Online meta-learning.

Task-driven Image Fusion with Learnable Fusion Loss Online meta-learning

Reference 12

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Observation 73d30c04-0c67-4701-9ba9-46209ee695b9 · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss Mfnet: Towards real-time se- mantic segmentation for autonomous vehicles with multi- spectral scenes

Reference 13

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Observation e71a2e5a-0813-4b50-b376-4a996f244bad · outbound

This paper cites Task-driven super resolution: Object detection in low-resolution images.

Task-driven Image Fusion with Learnable Fusion Loss Task-driven super resolution: Object detection in low-resolution images

Reference 14

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Observation cad02836-d569-4a96-9e51-aef88b1d5547 · outbound

This paper cites Stadie, Filip Wolski, Jonathan Ho, and Pieter Abbeel.

Task-driven Image Fusion with Learnable Fusion Loss Stadie, Filip Wolski, Jonathan Ho, and Pieter Abbeel

Reference 15

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Observation 728d3ba7-af80-4d13-b5eb-be8f8e900ff6 · outbound

This paper cites Reconet: Recurrent correction network for fast and efficient multi-modality image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Reconet: Recurrent correction network for fast and efficient multi-modality image fusion

Reference 16

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

Task-driven Image Fusion with Learnable Fusion Loss Llvip: A visible-infrared paired dataset for low-light vision

Reference 17

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Observation 897d8979-36b0-4d8e-8db1-e7442d683b27 · outbound

This paper cites Dynamic instance normalization for arbitrary style transfer.

Task-driven Image Fusion with Learnable Fusion Loss Dynamic instance normalization for arbitrary style transfer

Reference 18

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Observation 679aab4c-d36d-4a67-848f-9d484dec2d32 · outbound

This paper cites Ultralytics YOLOv8.

Task-driven Image Fusion with Learnable Fusion Loss Ultralytics YOLOv8

Reference 19

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Observation a7bf498e-8e9d-45f7-b83e-5ad19477ab56 · outbound

This paper cites Cross-modal ranking with soft consistency and noisy labels for robust RGB-T tracking.

Task-driven Image Fusion with Learnable Fusion Loss Cross-modal ranking with soft consistency and noisy labels for robust RGB-T tracking

Reference 20

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Observation 47536828-e7be-4c5c-9d7c-f072810b6a17 · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss Densefuse: A fusion approach to infrared and visible images

Reference 21

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This paper cites Different input resolutions and arbitrary output resolu- tion: A meta learning-based deep framework for infrared and visible image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Different input resolutions and arbitrary output resolu- tion: A meta learning-based deep framework for infrared and visible image fusion

Reference 22

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This paper cites Rfn-nest: An end-to- end residual fusion network for infrared and visible images.

Task-driven Image Fusion with Learnable Fusion Loss Rfn-nest: An end-to- end residual fusion network for infrared and visible images

Reference 23

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This paper cites Tokuda, Roberto Hirata Junior, Roberto Mar- condes Cesar Junior, Jiawan Zhang, Xiaojie Guo, and Xi- aochun Cao.

Task-driven Image Fusion with Learnable Fusion Loss Tokuda, Roberto Hirata Junior, Roberto Mar- condes Cesar Junior, Jiawan Zhang, Xiaojie Guo, and Xi- aochun Cao

Reference 24

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Observation beb14811-0b54-4264-9b39-96e8ad357a0d · outbound

This paper cites Ccafusion: cross-modal coordinate attention network for infrared and visible image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Ccafusion: cross-modal coordinate attention network for infrared and visible image fusion

Reference 25

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This paper cites Meta-SGD: Learning to Learn Quickly for Few-Shot Learning.

Task-driven Image Fusion with Learnable Fusion Loss Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Reference 26

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This paper cites USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s.

Task-driven Image Fusion with Learnable Fusion Loss USTC-TD: A Test Dataset and Benchmark for Image and Video Coding in 2020s

Reference 27

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This paper cites Object segmentation-assisted inter prediction for versatile video coding.

Task-driven Image Fusion with Learnable Fusion Loss Object segmentation-assisted inter prediction for versatile video coding

Reference 28

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This paper cites Fusion from decomposition: A self-supervised decomposi- tion approach for image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Fusion from decomposition: A self-supervised decomposi- tion approach for image fusion

Reference 29

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This paper cites DARTS: Differentiable Architecture Search.

Task-driven Image Fusion with Learnable Fusion Loss DARTS: Differentiable Architecture Search

Reference 30

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This paper cites Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Learning a deep multi-scale feature ensemble and an edge-attention guidance for image fusion

Reference 31

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

Task-driven Image Fusion with Learnable Fusion Loss Target-aware dual adversarial learning and a multi-scenario multi-modality benchmark to fuse infrared and visible for object detection

Reference 32

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This paper cites Attention-guided global-local adversarial learning for detail- preserving multi-exposure image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Attention-guided global-local adversarial learning for detail- preserving multi-exposure image fusion

Reference 33

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

Task-driven Image Fusion with Learnable Fusion Loss Multi-interactive feature learning and a full-time multi-modality benchmark for image fusion and segmentation

Reference 34

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This paper cites Holoco: Holistic and local con- trastive learning network for multi-exposure image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Holoco: Holistic and local con- trastive learning network for multi-exposure image fusion

Reference 35

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This paper cites Coconet: Coupled con- trastive learning network with multi-level feature ensemble for multi-modality image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Coconet: Coupled con- trastive learning network with multi-level feature ensemble for multi-modality image fusion

Reference 36

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This paper cites Infrared and visible im- age fusion: From data compatibility to task adaption.

Task-driven Image Fusion with Learnable Fusion Loss Infrared and visible im- age fusion: From data compatibility to task adaption

Reference 37

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This paper cites Search- ing a hierarchically aggregated fusion architecture for fast multi-modality image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Search- ing a hierarchically aggregated fusion architecture for fast multi-modality image fusion

Reference 38

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Observation bef08404-b160-45c4-8cb2-cf0535c3ebd6 · outbound

This paper cites Learning with nested scene modeling and cooper- ative architecture search for low-light vision.

Task-driven Image Fusion with Learnable Fusion Loss Learning with nested scene modeling and cooper- ative architecture search for low-light vision

Reference 39

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Observation 6983f24c-13bf-4a46-b425-2af0d6a113ac · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss A task-guided, implicitly-searched and metainitialized deep model for image fusion

Reference 40

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Observation a680a0f6-f14d-4ec6-8abc-9bfe97258fd2 · outbound

This paper cites A new multi-focus image fusion algorithm and its efficient imple- mentation.

Task-driven Image Fusion with Learnable Fusion Loss A new multi-focus image fusion algorithm and its efficient imple- mentation

Reference 41

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Observation 16628b04-a02c-4029-9e58-660c5f519b7f · outbound

This paper cites Bi-level dynamic learning for jointly multi- modality image fusion and beyond.

Task-driven Image Fusion with Learnable Fusion Loss Bi-level dynamic learning for jointly multi- modality image fusion and beyond

Reference 42

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Observation ff528c43-47e1-4b41-b659-76f6a6392e95 · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss Paif: Perception-aware infrared-visible im- age fusion for attack-tolerant semantic segmentation

Reference 43

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Observation 91f734c6-b8ee-462c-bc16-b8c77e1b2faf · outbound

This paper cites Searching a compact architecture for robust multi-exposure image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Searching a compact architecture for robust multi-exposure image fusion

Reference 44

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

Task-driven Image Fusion with Learnable Fusion Loss Infrared and visible im- age fusion methods and applications: A survey

Reference 45

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Observation dd18c0a0-a54f-4122-902f-75618dab31e5 · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss Fusiongan: A generative adversarial network for in- frared and visible image fusion

Reference 46

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Observation 8ab2aa1d-cd67-46af-96cf-1c78c4f0a2c5 · outbound

This paper cites Infrared and visible image fusion via detail preserving adversarial learning.

Task-driven Image Fusion with Learnable Fusion Loss Infrared and visible image fusion via detail preserving adversarial learning

Reference 47

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Observation c11acff2-d1bc-412e-a8de-6de684b08d72 · outbound

This paper cites Ddcgan: A dual-discriminator con- ditional generative adversarial network for multi-resolution image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Ddcgan: A dual-discriminator con- ditional generative adversarial network for multi-resolution image fusion

Reference 48

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Observation 9520597c-e644-460c-8de5-ffccbc3fe693 · outbound

This paper cites Toward fast, flexible, and robust low-light image enhancement.

Task-driven Image Fusion with Learnable Fusion Loss Toward fast, flexible, and robust low-light image enhancement

Reference 49

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Observation 8c030e66-54bd-44d3-8d22-bd6d85826075 · outbound

This paper cites On First-Order Meta-Learning Algorithms.

Task-driven Image Fusion with Learnable Fusion Loss On First-Order Meta-Learning Algorithms

Reference 50

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Observation d34d5729-b7e2-4dd7-b90a-fcfaee971f5e · outbound

This paper cites Cross-modal transformers for infrared and visible image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Cross-modal transformers for infrared and visible image fusion

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:04.452825Z

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Observation abf7c78c-b8f7-4c42-a463-78c0cfa9f32d · outbound

This paper cites Does haze removal help cnn-based image classifica- tion? In Proceedings of the European conference on com- puter vision (ECCV), pages 682–697, 2018.

Task-driven Image Fusion with Learnable Fusion Loss Does haze removal help cnn-based image classifica- tion? In Proceedings of the European conference on com- puter vision (ECCV), pages 682–697, 2018

Reference 52

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Observation bfffb62b-2f9a-44f0-af5d-942107bb0e39 · outbound

This paper cites Ground- truth free meta-learning for deep compressive sampling.

Task-driven Image Fusion with Learnable Fusion Loss Ground- truth free meta-learning for deep compressive sampling

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:04.328316Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2dbd1135-8d73-408c-b1ba-6580390a009a · outbound

This paper cites Learning to reweight examples for robust deep learning.

Task-driven Image Fusion with Learnable Fusion Loss Learning to reweight examples for robust deep learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:04.290688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d11a0f75-eff1-47f4-95db-008cfc113c7c · outbound

This paper cites Meta-weight-net: Learning an explicit mapping for sample weighting.

Task-driven Image Fusion with Learnable Fusion Loss Meta-weight-net: Learning an explicit mapping for sample weighting

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:04.234299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation dd7dafd0-472e-41e2-8cf3-ee46347eebc2 · 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.

Task-driven Image Fusion with Learnable Fusion Loss Image fusion in the loop of high-level vision tasks: A semantic-aware real- time infrared and visible image fusion network

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:04.194753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10e5d218-d2f5-4453-bf08-11e6921698e8 · 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.

Task-driven Image Fusion with Learnable Fusion Loss Image fusion in the loop of high-level vision tasks: A semantic-aware real- time infrared and visible image fusion network

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:04.108370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 36b59073-ae1a-49c4-bcd8-87166931698b · outbound

This paper cites Piafusion: A progressive infrared and visible im- age fusion network based on illumination aware.Infromation Fusion, 83-84:79–92, 2022.

Task-driven Image Fusion with Learnable Fusion Loss Piafusion: A progressive infrared and visible im- age fusion network based on illumination aware.Infromation Fusion, 83-84:79–92, 2022

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.969289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7b67eb71-17a1-4b15-87e8-f522b734a5b1 · outbound

This paper cites Datfuse: Infrared and visible image fusion via dual atten- tion transformer.

Task-driven Image Fusion with Learnable Fusion Loss Datfuse: Infrared and visible image fusion via dual atten- tion transformer

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.844849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1b378941-ed96-4704-a6ba-2b859eb4a127 · outbound

This paper cites Unsuper- vised misaligned infrared and visible image fusion via cross- modality image generation and registration.

Task-driven Image Fusion with Learnable Fusion Loss Unsuper- vised misaligned infrared and visible image fusion via cross- modality image generation and registration

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.714660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25b0e6e2-331b-4c62-af5b-3d77ca5cea32 · outbound

This paper cites A general paradigm with detail-preserving conditional in- vertible network for image fusion.

Task-driven Image Fusion with Learnable Fusion Loss A general paradigm with detail-preserving conditional in- vertible network for image fusion

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.584760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation facee64e-ba28-4312-aa1b-3f90a83648f5 · outbound

This paper cites Event-based video super- resolution via state space models.

Task-driven Image Fusion with Learnable Fusion Loss Event-based video super- resolution via state space models

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.446270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 573ee21d-db56-4176-868e-362a69665b5d · outbound

This paper cites Asymmetric event-guided video super- resolution.

Task-driven Image Fusion with Learnable Fusion Loss Asymmetric event-guided video super- resolution

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.351474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1152599e-0a67-4ef2-b0b8-7a4165e2ec13 · outbound

This paper cites Event-adapted video super- resolution.

Task-driven Image Fusion with Learnable Fusion Loss Event-adapted video super- resolution

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.294784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06ab0aee-ae3b-414e-a81b-623417a0a557 · outbound

This paper cites Fusiondn: A unified densely connected network for image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Fusiondn: A unified densely connected network for image fusion

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.225080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 25ede5d5-4a2d-417a-995e-6a95534a9406 · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss U2fusion: A unified unsupervised image fusion net- work

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.177635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e158096-9c48-4281-9538-88b5124a0c08 · outbound

This paper cites Rfnet: Unsupervised network for mutually reinforcing multi- modal image registration and fusion.

Task-driven Image Fusion with Learnable Fusion Loss Rfnet: Unsupervised network for mutually reinforcing multi- modal image registration and fusion

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:03.072085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3bd980c1-39eb-4730-928c-dde58e137dad · outbound

This paper cites Murf: Mutually re- inforcing multi-modal image registration and fusion.

Task-driven Image Fusion with Learnable Fusion Loss Murf: Mutually re- inforcing multi-modal image registration and fusion

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.896157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b2c4301d-09dd-44fe-896b-acf68547d0e4 · outbound

This paper cites HAM-MFN: hyperspec- tral and multispectral image multiscale fusion network with RAP loss.

Task-driven Image Fusion with Learnable Fusion Loss HAM-MFN: hyperspec- tral and multispectral image multiscale fusion network with RAP loss

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.774750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bddeae7b-c5ee-45f3-a73a-757af1f1c6bd · outbound

This paper cites Towards reducing se- vere defocus spread effects for multi-focus image fusion via an optimization based strategy.

Task-driven Image Fusion with Learnable Fusion Loss Towards reducing se- vere defocus spread effects for multi-focus image fusion via an optimization based strategy

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.594774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 906b3fe4-a3d9-44c2-8ff7-b8cc8c8b8f4d · outbound

This paper cites Infrared and visible im- age fusion via texture conditional generative adversarial net- work.

Task-driven Image Fusion with Learnable Fusion Loss Infrared and visible im- age fusion via texture conditional generative adversarial net- work

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.445539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 03c722e6-2d16-407f-8d7b-647edcf6847e · outbound

This paper cites Diff-if: Multi-modality image fusion via diffusion model with fusion knowledge prior.

Task-driven Image Fusion with Learnable Fusion Loss Diff-if: Multi-modality image fusion via diffusion model with fusion knowledge prior

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.416457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a55d68bd-3d7c-4ce1-be82-806c52e41b89 · outbound

This paper cites Restormer: Efficient transformer for high-resolution image restoration.

Task-driven Image Fusion with Learnable Fusion Loss Restormer: Efficient transformer for high-resolution image restoration

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.385275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 702fcb2f-42be-427a-a0c7-ca3a871cbe6f · outbound

This paper cites Sdnet: A versatile squeeze-and- decomposition network for real-time image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Sdnet: A versatile squeeze-and- decomposition network for real-time image fusion

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T22:42:01.179162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b82882fc-68c0-48db-bf12-9577ef4cc266 · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss Mrfs: Mutually reinforcing image fusion and segmenta- tion

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.338251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 172efee6-3d57-4929-9ecd-ff1eb5b11ca9 · outbound

This paper cites IFCNN: A general image fusion framework based on convolutional neural network.

Task-driven Image Fusion with Learnable Fusion Loss IFCNN: A general image fusion framework based on convolutional neural network

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.293252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 69ecb194-dbe2-4683-9c1b-ace27b22342f · outbound

This paper cites Metafusion: Infrared and visible image fusion via meta- feature embedding from object detection.

Task-driven Image Fusion with Learnable Fusion Loss Metafusion: Infrared and visible image fusion via meta- feature embedding from object detection

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.255531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d065fc83-26ba-493b-ba99-0dd9b5481f01 · outbound

This paper cites Tufusion: A transformer-based universal fusion algorithm for multimodal images.

Task-driven Image Fusion with Learnable Fusion Loss Tufusion: A transformer-based universal fusion algorithm for multimodal images

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.215958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87ff390d-194b-4588-940a-c30b1f83b3e9 · outbound

This paper cites Didfuse: Deep image de- composition for infrared and visible image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Didfuse: Deep image de- composition for infrared and visible image fusion

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.164686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c18471b2-5114-41fe-9ee9-001dcfbdbbdd · outbound

This paper cites Efficient and model- based infrared and visible image fusion via algorithm un- rolling.

Task-driven Image Fusion with Learnable Fusion Loss Efficient and model- based infrared and visible image fusion via algorithm un- rolling

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.131600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c20874cd-7bd3-4899-9a56-84640c25628a · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss Cddfuse: Correlation-driven dual-branch feature decompo- sition for multi-modality image fusion

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.084751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2bcf4bb3-7e2b-415c-bbf0-a058856aabc0 · outbound

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

Task-driven Image Fusion with Learnable Fusion Loss Cddfuse: Correlation-driven dual-branch feature decompo- sition for multi-modality image fusion

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:02.024758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 75b1bb1f-e9bd-40aa-a706-520b6907aac8 · outbound

This paper cites DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion.

Task-driven Image Fusion with Learnable Fusion Loss DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion

Reference 84

Resolution: verified exact; local_arxiv, observed 2026-08-11T22:42:01.514995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b7fe09ea-f6f6-4a13-aac4-76eb047f650b · outbound

This paper cites Deep convolutional sparse cod- ing networks for interpretable image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Deep convolutional sparse cod- ing networks for interpretable image fusion

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:01.952101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7ac2230e-30b3-4b86-9a65-e29052fe2227 · outbound

This paper cites Equivariant multi-modality image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Equivariant multi-modality image fusion

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T22:42:01.328821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be91340-0814-42cd-9a70-266ce740be81 · outbound

This paper cites Semantic-supervised infrared and visible image fusion via a dual-discriminator generative adversarial net- work.

Task-driven Image Fusion with Learnable Fusion Loss Semantic-supervised infrared and visible image fusion via a dual-discriminator generative adversarial net- work

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:01.917094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8b4cea3a-903f-423d-9dc1-a70513264317 · outbound

This paper cites Probing synergistic high-order in- teraction for multi-modal image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Probing synergistic high-order in- teraction for multi-modal image fusion

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:01.878503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17adb671-a0d8-4fb0-8bde-250cdb6b7be9 · outbound

This paper cites Task- customized mixture of adapters for general image fusion.

Task-driven Image Fusion with Learnable Fusion Loss Task- customized mixture of adapters for general image fusion

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:42:01.838886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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