Segment Any RGB-Thermal Model with Language-aided Distillation | Paper Citation Record

Observation cd5ae109-5273-4f94-9920-b915a8ecb5ad · outbound

This paper cites Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks.

Segment Any RGB-Thermal Model with Language-aided Distillation Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 1

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Observation d1b17d69-3687-4ce0-bdd0-7b5ba1eaddcc · outbound

This paper cites Eventdance: Unsupervised source-free cross- modal adaptation for event-based object recognition,.

Segment Any RGB-Thermal Model with Language-aided Distillation Eventdance: Unsupervised source-free cross- modal adaptation for event-based object recognition,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.509637Z

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Observation 33b14ac3-05e4-42c3-bf5c-3dbdbc9ebe37 · outbound

This paper cites Exact: Language-guided conceptual reasoning and uncertainty estimation for event-based action recognition and more,.

Segment Any RGB-Thermal Model with Language-aided Distillation Exact: Language-guided conceptual reasoning and uncertainty estimation for event-based action recognition and more,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.483643Z

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Observation cf23a4e5-78ef-434c-8a9e-344e89b486ee · outbound

This paper cites Dehazed image quality evaluation: From partial discrepancy to blind perception,.

Segment Any RGB-Thermal Model with Language-aided Distillation Dehazed image quality evaluation: From partial discrepancy to blind perception,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.462115Z

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Observation 76744527-0e48-4c21-828d-c6ee65446c14 · outbound

This paper cites Context-aware interaction network for rgb-t semantic segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Context-aware interaction network for rgb-t semantic segmentation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.442330Z

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Observation 156cf127-41e5-4e0f-8363-ef433538eea5 · outbound

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

Segment Any RGB-Thermal Model with Language-aided Distillation Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.417218Z

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Observation 999af57c-36cf-42ac-a753-2252ca41ab3e · outbound

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

Segment Any RGB-Thermal Model with Language-aided Distillation Multi-interactive feature learning and a full-time multi-modality benchmark for image fusion and segmentation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.396003Z

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Observation 9a1db663-1238-428a-b12f-e3364fe8a756 · outbound

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

Segment Any RGB-Thermal Model with Language-aided Distillation Pst900: Rgb-thermal calibration, dataset and segmentation network,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.371853Z

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Observation b65d3908-c29c-4cec-a7e8-90201d94368f · outbound

This paper cites Mffenet: Multiscale feature fusion and enhancement network for rgb–thermal urban road scene parsing,.

Segment Any RGB-Thermal Model with Language-aided Distillation Mffenet: Multiscale feature fusion and enhancement network for rgb–thermal urban road scene parsing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.343057Z

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Observation ae09e60f-dda6-4687-9d55-46d11de98ad5 · outbound

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

Segment Any RGB-Thermal Model with Language-aided Distillation Rtfnet: Rgb-thermal fusion network for semantic segmentation of urban scenes,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.317634Z

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.

Observation dd9bf0fd-592a-4fa8-9541-2b876e490cf9 · outbound

This paper cites Fuseseg: Semantic segmentation of urban scenes based on rgb and thermal data fusion,.

Segment Any RGB-Thermal Model with Language-aided Distillation Fuseseg: Semantic segmentation of urban scenes based on rgb and thermal data fusion,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.294010Z

Source-reported events for the cited work

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Observation aec84846-dc2e-4699-aee9-ac966fc150b9 · outbound

This paper cites Context-aware interaction network for rgb-t semantic segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Context-aware interaction network for rgb-t semantic segmentation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.271496Z

Source-reported events for the cited work

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Observation 2ec2ae7d-edeb-4ec4-ba4b-5ea9fb8a7e75 · outbound

This paper cites Segment anything,.

Segment Any RGB-Thermal Model with Language-aided Distillation Segment anything,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.248235Z

Source-reported events for the cited work

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Observation fdc3dc25-05bc-4ed0-9b91-e7e21ed3727e · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Segment Any RGB-Thermal Model with Language-aided Distillation SAM 2: Segment Anything in Images and Videos

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.765801Z

Source-reported events for the cited work

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Observation ceda88f4-5854-4e3c-9cdd-0d50b9b7dc87 · outbound

This paper cites Msgfusion: Medical semantic guided two-branch network for multi- modal brain image fusion,.

Segment Any RGB-Thermal Model with Language-aided Distillation Msgfusion: Medical semantic guided two-branch network for multi- modal brain image fusion,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.229772Z

Source-reported events for the cited work

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Observation dfcba1df-3d51-421e-b3fd-232e6b2b547a · outbound

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

Segment Any RGB-Thermal Model with Language-aided Distillation Cddfuse: Correlation-driven dual-branch feature decomposition for multi-modality image fusion,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.209921Z

Source-reported events for the cited work

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Observation e16b82f5-a863-487a-a2b8-080ef9d12bed · outbound

This paper cites Multi-focus image fusion based on multi-scale gradients and image matting,.

Segment Any RGB-Thermal Model with Language-aided Distillation Multi-focus image fusion based on multi-scale gradients and image matting,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.188394Z

Source-reported events for the cited work

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Observation 73288662-e5a4-468d-b598-c07d9853d489 · outbound

This paper cites Ifsepr: A general framework for image fusion based on separate representation learning,.

Segment Any RGB-Thermal Model with Language-aided Distillation Ifsepr: A general framework for image fusion based on separate representation learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.162568Z

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Observation 731f1e66-3426-4d4a-be69-1883635ce662 · outbound

This paper cites ImageBind-LLM: Multi-modality Instruction Tuning.

Segment Any RGB-Thermal Model with Language-aided Distillation ImageBind-LLM: Multi-modality Instruction Tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.804697Z

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Observation 8dbecf08-2a7e-4193-b4f9-b4bee52a0846 · outbound

This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

Segment Any RGB-Thermal Model with Language-aided Distillation LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.813317Z

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Observation 5fd60997-05ac-43e8-9e9b-04f771452e23 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Segment Any RGB-Thermal Model with Language-aided Distillation InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.825725Z

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Observation 3a416865-f1f1-4b47-a41c-30e578072793 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Segment Any RGB-Thermal Model with Language-aided Distillation Learning transferable visual models from natural language supervision,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.140046Z

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Observation f1a6b2d7-82d3-459f-9ae5-976bbdb3158c · outbound

This paper cites Unleash the power of vision-language models by visual attention prompt and multi-modal interaction,.

Segment Any RGB-Thermal Model with Language-aided Distillation Unleash the power of vision-language models by visual attention prompt and multi-modal interaction,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.115912Z

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Observation fce145e4-1969-4b4a-86f8-9a841ff988eb · outbound

This paper cites Multi-task paired masking with alignment modeling for medical vision- language pre-training,.

Segment Any RGB-Thermal Model with Language-aided Distillation Multi-task paired masking with alignment modeling for medical vision- language pre-training,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.088193Z

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Observation 9d4a712d-6ea7-47c8-bf1e-1b9d4a6f5f69 · outbound

This paper cites Joint bilateral upsampling,.

Segment Any RGB-Thermal Model with Language-aided Distillation Joint bilateral upsampling,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.061786Z

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Observation 81f8f65e-8faa-4a8c-a2c4-56d67f6656eb · outbound

This paper cites Distilling efficient vision transformers from cnns for semantic segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Distilling efficient vision transformers from cnns for semantic segmentation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.035513Z

Source-reported events for the cited work

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Observation bf4c2ab3-a5ec-44b0-a36d-4115067449d6 · outbound

This paper cites Eventbind: Learning a unified representation to bind them all for event-based open-world understanding,.

Segment Any RGB-Thermal Model with Language-aided Distillation Eventbind: Learning a unified representation to bind them all for event-based open-world understanding,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:47.016147Z

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.

Observation 350c20ab-9b83-4ef9-bc2e-612d9528f7a4 · outbound

This paper cites MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection.

Segment Any RGB-Thermal Model with Language-aided Distillation MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.873281Z

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Observation a4ef6b52-f6e4-4ca7-a035-926c2f6bb63f · outbound

This paper cites Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation.

Segment Any RGB-Thermal Model with Language-aided Distillation Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.883691Z

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Observation 74f15663-4a85-419c-b5b1-75ebe13771c5 · outbound

This paper cites Mrfs: Mutually rein- forcing image fusion and segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Mrfs: Mutually rein- forcing image fusion and segmentation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.989654Z

Source-reported events for the cited work

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Observation 21449838-4645-4b43-a7b2-fdb26820cc7f · outbound

This paper cites Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts.

Segment Any RGB-Thermal Model with Language-aided Distillation Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.896585Z

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Observation 4b815fa3-55c0-4008-a977-d1d92c47aac7 · outbound

This paper cites Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance.

Segment Any RGB-Thermal Model with Language-aided Distillation Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.902798Z

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Observation 4a6a9f0e-48ff-4f9f-a18e-cb27fdc23b63 · outbound

This paper cites Omnisam: Omnidirectional segment anything model for uda in panoramic semantic segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Omnisam: Omnidirectional segment anything model for uda in panoramic semantic segmentation,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.909735Z

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Observation 5ea4386a-25bf-41be-a35c-98920179577a · outbound

This paper cites Eviprompt: A training-free evidential prompt generation method for adapting segment anything model in medical images,.

Segment Any RGB-Thermal Model with Language-aided Distillation Eviprompt: A training-free evidential prompt generation method for adapting segment anything model in medical images,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.961630Z

Source-reported events for the cited work

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Observation 0be9c375-a0f3-43c6-89cb-ac4580fc3eda · outbound

This paper cites Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey.

Segment Any RGB-Thermal Model with Language-aided Distillation Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.927618Z

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Observation 9ce79b5a-ce24-4993-8ec2-6e3ae06dec80 · outbound

This paper cites Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey.

Segment Any RGB-Thermal Model with Language-aided Distillation Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.937378Z

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Observation 7f6a3f2e-f86f-4a5e-b1db-e3a53995639a · outbound

This paper cites Segment anything model for medical image segmentation: Current applications and future directions,.

Segment Any RGB-Thermal Model with Language-aided Distillation Segment anything model for medical image segmentation: Current applications and future directions,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.940700Z

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.

Observation 83e130ce-095d-4789-9a7e-ead58424b6a0 · outbound

This paper cites Samrs: Scaling-up remote sensing segmentation dataset with segment anything model,.

Segment Any RGB-Thermal Model with Language-aided Distillation Samrs: Scaling-up remote sensing segmentation dataset with segment anything model,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.905296Z

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.

Observation 0444c3ac-a0ef-4644-9252-e1618ff46dc4 · outbound

This paper cites Ringmo-sam: A foundation model for segment anything in multimodal remote-sensing images,.

Segment Any RGB-Thermal Model with Language-aided Distillation Ringmo-sam: A foundation model for segment anything in multimodal remote-sensing images,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.878877Z

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.

Observation 5ae25380-a782-4140-b221-fdba7964d390 · outbound

This paper cites Rsprompter: Learning to prompt for remote sensing instance seg- mentation based on visual foundation model,.

Segment Any RGB-Thermal Model with Language-aided Distillation Rsprompter: Learning to prompt for remote sensing instance seg- mentation based on visual foundation model,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.856152Z

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.

Observation fa59431d-835d-467a-976c-ef46ff752fe6 · outbound

This paper cites UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model.

Segment Any RGB-Thermal Model with Language-aided Distillation UVOSAM: A Mask-free Paradigm for Unsupervised Video Object Segmentation via Segment Anything Model

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:44.977868Z

Source-reported events for the cited work

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Observation df389029-e716-47a1-81bd-44a13406eda9 · outbound

This paper cites Foodsam: Any food segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Foodsam: Any food segmentation,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.834958Z

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.

Observation 8c1f2c6e-63a5-46b7-b2be-8acd4c221633 · outbound

This paper cites Recalling unknowns without losing precision: An effective solution to large model-guided open world object detection,.

Segment Any RGB-Thermal Model with Language-aided Distillation Recalling unknowns without losing precision: An effective solution to large model-guided open world object detection,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.811786Z

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.

Observation 8f9640cd-08e2-488f-bf8b-6a7714f9aaeb · outbound

This paper cites Segmenting anything in the dark via depth perception,.

Segment Any RGB-Thermal Model with Language-aided Distillation Segmenting anything in the dark via depth perception,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.778613Z

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.

Observation 300e7357-7e4a-482e-b58e-f1d173197387 · outbound

This paper cites Segment and Track Anything.

Segment Any RGB-Thermal Model with Language-aided Distillation Segment and Track Anything

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:45.004955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff02e8a-17fd-4ab7-82e3-3edaedf91b8a · outbound

This paper cites Rog- sam: A language-driven framework for instance-level robotic grasping detection,.

Segment Any RGB-Thermal Model with Language-aided Distillation Rog- sam: A language-driven framework for instance-level robotic grasping detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.748989Z

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.

Observation 24aa7df3-7c38-4ab2-bb59-db33063538c6 · outbound

This paper cites Frequency-guided spatial adaptation for camouflaged object detection,.

Segment Any RGB-Thermal Model with Language-aided Distillation Frequency-guided spatial adaptation for camouflaged object detection,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.725616Z

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.

Observation a7a4d24f-1ed1-48f8-9550-5298e147b312 · outbound

This paper cites Nto3d: Neural target object 3d reconstruction with segment anything,.

Segment Any RGB-Thermal Model with Language-aided Distillation Nto3d: Neural target object 3d reconstruction with segment anything,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.698958Z

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.

Observation 5a93683c-dcf1-4ebb-a259-4b0bcfb8d7af · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Segment Any RGB-Thermal Model with Language-aided Distillation Learning transferable visual models from natural language supervision,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.673402Z

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.

Observation 5961195d-7b88-4f80-b729-0bdb188e417d · outbound

This paper cites Show, attend and tell: Neural image caption generation with visual attention,.

Segment Any RGB-Thermal Model with Language-aided Distillation Show, attend and tell: Neural image caption generation with visual attention,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.647194Z

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.

Observation 03093492-b724-463e-8a85-ab5e1057bcf4 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions,.

Segment Any RGB-Thermal Model with Language-aided Distillation Instructpix2pix: Learning to follow image editing instructions,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.623120Z

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.

Observation 27e8dbcd-7c02-4436-a422-6cb1a7d4d8bf · outbound

This paper cites Unibind: Llm-augmented unified and balanced representation space to bind them all,.

Segment Any RGB-Thermal Model with Language-aided Distillation Unibind: Llm-augmented unified and balanced representation space to bind them all,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.596108Z

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.

Observation dfec9af9-ea0b-4115-8c14-4bf50fd80abf · outbound

This paper cites OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All.

Segment Any RGB-Thermal Model with Language-aided Distillation OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All

Reference 53

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Source-reported events for the cited work

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Observation e186b863-2362-48c0-bc87-8291957eb8da · outbound

This paper cites Vision-language consistency guided multi-modal prompt learning for blind ai generated image quality assessment,.

Segment Any RGB-Thermal Model with Language-aided Distillation Vision-language consistency guided multi-modal prompt learning for blind ai generated image quality assessment,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.567438Z

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.

Observation aac53fae-cb72-4f65-95e7-8e7562b12f68 · outbound

This paper cites Dall-e: Creating images from text,.

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Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.545532Z

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.

Observation d3beabec-f782-4312-a7cd-d5ce5248086d · outbound

This paper cites GPT-4 Technical Report.

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Reference 56

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ac2a3b-2747-4d28-a897-5625e9f4c26e · outbound

This paper cites Multi-modal interaction graph convolutional network for temporal language localization in videos,.

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Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.524962Z

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.

Observation 0b397359-6bd5-4977-9a93-b5703f127415 · outbound

This paper cites Prompt-driven referring image segmentation with instance contrasting,.

Segment Any RGB-Thermal Model with Language-aided Distillation Prompt-driven referring image segmentation with instance contrasting,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.499615Z

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.

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This paper cites Cris: Clip- driven referring image segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Cris: Clip- driven referring image segmentation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.472334Z

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.

Observation 12c77383-f737-4932-a7f4-312a9129c48e · outbound

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

Segment Any RGB-Thermal Model with Language-aided Distillation Egfnet: Edge-aware guidance fusion network for rgb–thermal urban scene parsing,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.445348Z

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.

Observation 174337df-9f03-4a3b-99a7-81e2ff94cbfd · outbound

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

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Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.426106Z

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

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This paper cites Feanet: Feature-enhanced attention network for rgb-thermal real-time semantic segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Feanet: Feature-enhanced attention network for rgb-thermal real-time semantic segmentation,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.406061Z

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

Observation 8cd05749-82e2-478c-ae88-343df44cb905 · outbound

This paper cites Dbcnet: Dynamic bilateral cross- fusion network for rgb-t urban scene understanding in intelligent vehi- cles,.

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Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.376814Z

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.

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This paper cites Ex- plicit attention-enhanced fusion for rgb-thermal perception tasks,.

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Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.347638Z

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.

Observation 0d0955f8-1318-477b-8a1f-9ab6892bff52 · outbound

This paper cites Gmnet: Graded- feature multilabel-learning network for rgb-thermal urban scene seman- tic segmentation,.

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Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.326328Z

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.

Observation 239142f4-a9b2-4e58-8b97-3ef6c9559cf5 · outbound

This paper cites Mmsformer: Multi- modal transformer for material and semantic segmentation,.

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Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.305905Z

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.

Observation 72409809-0207-4672-bc19-b74a5525f9e8 · outbound

This paper cites Complementary random masking for rgb-thermal semantic segmentation,.

Segment Any RGB-Thermal Model with Language-aided Distillation Complementary random masking for rgb-thermal semantic segmentation,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.271937Z

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.

Observation d3df1989-d650-4e9e-813a-475e5fd81df3 · outbound

This paper cites Complementary random masking for rgb-thermal semantic segmentation,.

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Reference 68

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Source-reported events for the cited work

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Observation ee90a38b-0176-4cc3-899c-dcf9ef9a57fb · outbound

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Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.245965Z

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

Observation e7839e16-9f43-42f5-9cee-93fb1e104fe9 · outbound

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

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Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.225420Z

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.

Observation 82aaa764-a5af-4f02-8689-73fe75d0bf53 · outbound

This paper cites Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers,.

Segment Any RGB-Thermal Model with Language-aided Distillation Cmx: Cross-modal fusion for rgb-x semantic segmentation with transformers,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.203550Z

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.

Observation e06ab98c-3b43-4aa5-aa1c-d327e8fdd0cf · outbound

This paper cites Delivering arbitrary-modal semantic segmentation,.

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Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.185286Z

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

Observation 37a61209-4085-4ecb-b5eb-0ab4c6d7f917 · outbound

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Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.161549Z

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

Observation dd36547d-fecd-44d4-af15-f799377dcaaa · outbound

This paper cites Rgb-t semantic segmentation with location, activation, and sharpening,.

Segment Any RGB-Thermal Model with Language-aided Distillation Rgb-t semantic segmentation with location, activation, and sharpening,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.138101Z

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.

Observation ef0b2269-d5a8-4707-afde-352b50ba5344 · outbound

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

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Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.118173Z

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.

Observation d80a0fc8-349a-4c16-b8ac-192c3892471c · outbound

This paper cites Didfuse: Deep image decomposition for infrared and visible image fusion,.

Segment Any RGB-Thermal Model with Language-aided Distillation Didfuse: Deep image decomposition for infrared and visible image fusion,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.095017Z

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.

Observation 1ba369f0-8312-441c-bdfc-036cd6882ac6 · outbound

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

Segment Any RGB-Thermal Model with Language-aided Distillation Reconet: Recurrent correction network for fast and efficient multi-modality image fusion,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.073290Z

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.

Observation 7b51b893-f08a-4d9d-a7a4-c0ad91730ec6 · outbound

This paper cites U2fusion: A unified unsupervised image fusion network,.

Segment Any RGB-Thermal Model with Language-aided Distillation U2fusion: A unified unsupervised image fusion network,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.045722Z

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.

Observation a3555f3b-f58f-4f9f-883c-f79e477159e5 · outbound

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

Segment Any RGB-Thermal Model with Language-aided Distillation Target-aware dual adversarial learning and a multi-scenario multi- modality benchmark to fuse infrared and visible for object detection,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T04:10:46.016428Z

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.

Observation 93c0199c-b247-4990-945e-bcf7f923d1c9 · outbound

This paper cites U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation.

Segment Any RGB-Thermal Model with Language-aided Distillation U3M: Unbiased Multiscale Modal Fusion Model for Multimodal Semantic Segmentation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-16T04:10:45.280927Z

Source-reported events for the cited work

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