Paper Citation Record · LEDGER

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization

As of 17 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 5 inbound Pith citation observations for arXiv:2505.06635.

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

pith.paper-citation-record.v1
2505.06635 v1

Coverage vector

measured 75 of 75 reference resolution

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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: pith, observed 2026-08-06T22:17:54.418808Z

Reference resolution

75 of 75 outbound references displayed

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External citation measurements

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Outbound references

Observation 5c827ffd-5375-47ba-916d-8ecb9aa56a50 · outbound

This paper cites Delivering arbitrary-modal semantic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Delivering arbitrary-modal semantic segmentation,

Reference 1

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Observation a70431d3-dfef-4b20-afc1-388f01000ceb · outbound

This paper cites Centering the value of every modality: Towards efficient and re- silient modality-agnostic semantic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Centering the value of every modality: Towards efficient and re- silient modality-agnostic semantic segmentation,

Reference 2

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Observation 7c28e63d-6720-4d72-8e59-247147e04628 · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Segformer: Simple and efficient design for semantic segmentation with transformers,

Reference 3

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Observation 194b1a08-64eb-4691-8e8f-4e27be66b735 · outbound

This paper cites Frozen is better than learning: A new design of prototype- based classifier for semantic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Frozen is better than learning: A new design of prototype- based classifier for semantic segmentation,

Reference 4

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Observation 608d9c10-4794-45b2-9d95-781258995f80 · outbound

This paper cites Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation

Reference 5

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Observation 39007d08-0979-4ae4-9bff-53a4db313cfd · outbound

This paper cites Uncertainty-aware deep co-training for semi-supervised medical image segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Uncertainty-aware deep co-training for semi-supervised medical image segmentation,

Reference 6

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Observation 767f49ca-0bd8-48b0-ae24-05f3c6b3e3f2 · outbound

This paper cites Uncertainty teacher with dense focal loss for semi- supervised medical image segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Uncertainty teacher with dense focal loss for semi- supervised medical image segmentation,

Reference 7

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Observation d3b58299-b2f4-4a7f-93bd-a39c4581bfa6 · outbound

This paper cites ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More

Reference 8

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Observation 200d1c1b-a454-4bd4-acb5-9e0b12791c36 · outbound

This paper cites Adversarial co-training for semantic segmenta- tion over medical images,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Adversarial co-training for semantic segmenta- tion over medical images,

Reference 9

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Observation 3d33b959-52a0-42fe-b43c-6412cbb37e57 · outbound

This paper cites Se- mantics, distortion, and style matter: Towards source-free UDA for panoramic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Se- mantics, distortion, and style matter: Towards source-free UDA for panoramic segmentation,

Reference 10

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Observation 7b638a33-a155-4b6c-bc5a-4abb3f88b88f · outbound

This paper cites Sharing key seman- tics in transformer makes efficient image restoration,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Sharing key seman- tics in transformer makes efficient image restoration,

Reference 11

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Observation c47382e9-228a-4e58-aecf-34253210b4ae · outbound

This paper cites Masked jigsaw puzzle: A versatile posi- tion embedding for vision transformers,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Masked jigsaw puzzle: A versatile posi- tion embedding for vision transformers,

Reference 12

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Observation e2db3490-be01-4866-984f-6485c7cb6123 · outbound

This paper cites Bringing masked autoencoders explicit contrastive properties for point cloud self-supervised learning,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Bringing masked autoencoders explicit contrastive properties for point cloud self-supervised learning,

Reference 13

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Observation 1bdc6eaa-34dd-4697-b1d1-09726076d5be · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

Reference 14

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Observation 7e2496cb-ed34-4133-a576-b28b28508fe8 · outbound

This paper cites Learning modality-agnostic representation for semantic segmentation from any modali- ties,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Learning modality-agnostic representation for semantic segmentation from any modali- ties,

Reference 15

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Observation d956c38f-d4ce-4871-82ab-c74fceb2cfe2 · outbound

This paper cites Understanding unimodal bias in multimodal deep linear networks,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Understanding unimodal bias in multimodal deep linear networks,

Reference 16

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Observation 10f2a2c1-c5ea-450a-b56a-17e6a9008091 · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation

Reference 17

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Observation 311100f2-63e8-4aa1-bf33-7058c77ca9d4 · outbound

This paper cites Removing bias in multi-modal classifiers: Regularization by maximiz- ing functional entropies,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Removing bias in multi-modal classifiers: Regularization by maximiz- ing functional entropies,

Reference 18

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Observation c2c065b2-1aa2-4427-a6c0-d501f9f904e7 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 19

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Observation a24a8951-9661-420a-b737-614e688c660e · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All

Reference 20

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Unibind: Llm- augmented unified and balanced representation space to bind them all,

Reference 21

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This paper cites Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation

Reference 22

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This paper cites Learning deep mul- timodal feature representation with asymmetric multi-layer fusion,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Learning deep mul- timodal feature representation with asymmetric multi-layer fusion,

Reference 23

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This paper cites Rgb-d co- attention network for semantic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Rgb-d co- attention network for semantic segmentation,

Reference 24

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This paper cites Deep multimodal fusion by channel exchanging,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Deep multimodal fusion by channel exchanging,

Reference 25

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This paper cites Shapeconv: Shape-aware convolutional layer for in- door rgb-d semantic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Shapeconv: Shape-aware convolutional layer for in- door rgb-d semantic segmentation,

Reference 26

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This paper cites Spatial information guided convolution for real-time rgbd semantic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Spatial information guided convolution for real-time rgbd semantic segmentation,

Reference 27

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This paper cites Uctnet: Uncertainty-aware cross- modal transformer network for indoor rgb-d semantic seg- mentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Uctnet: Uncertainty-aware cross- modal transformer network for indoor rgb-d semantic seg- mentation,

Reference 28

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This paper cites Spsn: Superpixel pro- totype sampling network for rgb-d salient object detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Spsn: Superpixel pro- totype sampling network for rgb-d salient object detection,

Reference 29

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This paper cites Cir-net: Cross-modality interaction and refine- ment for rgb-d salient object detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Cir-net: Cross-modality interaction and refine- ment for rgb-d salient object detection,

Reference 30

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This paper cites Dmra: Depth-induced multi-scale recurrent atten- tion network for rgb-d saliency detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Dmra: Depth-induced multi-scale recurrent atten- tion network for rgb-d saliency detection,

Reference 31

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This paper cites Learning discriminative cross-modality features for rgb-d saliency detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Learning discriminative cross-modality features for rgb-d saliency detection,

Reference 32

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This paper cites Improving rgb-d salient object detection via modality-aware decoder,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Improving rgb-d salient object detection via modality-aware decoder,

Reference 33

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Pst900: Rgb-thermal calibration, dataset and segmentation network,

Reference 34

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Abmdrnet: Adaptive-weighted bi-directional modality dif- ference reduction network for rgb-t semantic segmentation,

Reference 35

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Observation e0689702-1878-4eaa-9547-ed5871fdd4d7 · outbound

This paper cites Complementarity-aware cross- modal feature fusion network for rgb-t semantic segmenta- tion,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Complementarity-aware cross- modal feature fusion network for rgb-t semantic segmenta- tion,

Reference 36

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This paper cites Cross- collaborative fusion-encoder network for robust rgb-thermal salient object detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Cross- collaborative fusion-encoder network for robust rgb-thermal salient object detection,

Reference 37

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This paper cites Mmsmcnet: Modal memory sharing and morphological complementary networks for rgb-t urban scene semantic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Mmsmcnet: Modal memory sharing and morphological complementary networks for rgb-t urban scene semantic segmentation,

Reference 38

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This paper cites Cross-modality double bidirectional interaction and fusion network for rgb-t salient object detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Cross-modality double bidirectional interaction and fusion network for rgb-t salient object detection,

Reference 39

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Observation 5e3d82d3-0b41-4380-96bf-f80378ec2a6d · outbound

This paper cites Modality-induced transfer-fusion network for rgb-d and rgb-t salient object detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Modality-induced transfer-fusion network for rgb-d and rgb-t salient object detection,

Reference 40

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Observation ac624f2c-9a0e-4933-bd35-0981c21f71ab · outbound

This paper cites Caver: Cross-modal view-mixed transformer for bi-modal salient object detec- tion,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Caver: Cross-modal view-mixed transformer for bi-modal salient object detec- tion,

Reference 41

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Observation 3c8e825e-f21c-405e-852a-afea9f35b3cd · outbound

This paper cites Bridging search region interaction with template for rgb-t tracking,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Bridging search region interaction with template for rgb-t tracking,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:47.028975Z

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Observation c323b316-37b0-4ce1-9fc9-7a84556199d0 · outbound

This paper cites Efficient rgb-t tracking via cross-modality distillation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Efficient rgb-t tracking via cross-modality distillation,

Reference 43

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Observation 55ea5e7c-7e37-4f68-8f5a-2591a07048d1 · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance

Reference 44

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This paper cites Ev-segnet: Semantic seg- mentation for event-based cameras,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Ev-segnet: Semantic seg- mentation for event-based cameras,

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe5eff17-7b73-4f7c-a5cc-10d588b924ca · outbound

This paper cites Issafe: Improving semantic segmentation in accidents by fusing event-based data,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Issafe: Improving semantic segmentation in accidents by fusing event-based data,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.981199Z

Source-reported events for the cited work

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Observation 8d41db9e-6090-4e31-a346-fd305a626138 · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Eventdance: Unsupervised source- free cross-modal adaptation for event-based object recogni- tion,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.970731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bbc9fb2c-2f22-4c3c-861d-f3ca96c8d553 · outbound

This paper cites Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:46.307377Z

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Observation 8d2d0547-89fd-465c-bafc-4bd688967c74 · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Exact: Language- guided conceptual reasoning and uncertainty estimation for event-based action recognition and more,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.958596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fe87a73e-769a-47be-a0a5-ebd402825f82 · outbound

This paper cites Perception-aware multi-sensor fusion for 3d lidar seman- tic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Perception-aware multi-sensor fusion for 3d lidar seman- tic segmentation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.946949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 059afbd1-2b0b-4ab6-ba7a-75d5fb30523d · outbound

This paper cites 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization 2dpass: 2d priors assisted semantic segmentation on lidar point clouds,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.936353Z

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Observation ac947b94-a74e-4a61-86ed-17e3915dfb7d · outbound

This paper cites Multimodal token fusion for vision transformers,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Multimodal token fusion for vision transformers,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.925199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7f8976d-5499-4d47-99cb-f3e4625ea308 · outbound

This paper cites Deepfusion: Lidar- camera deep fusion for multi-modal 3d object detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Deepfusion: Lidar- camera deep fusion for multi-modal 3d object detection,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.914748Z

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Observation a79119f2-9154-4530-9716-226673c12fa9 · outbound

This paper cites X-align: Cross-modal cross- view alignment for bird’s-eye-view segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization X-align: Cross-modal cross- view alignment for bird’s-eye-view segmentation,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.903570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41c4f54b-0663-49ff-a2ec-4ec5b3dfb109 · outbound

This paper cites Mx2m: Masked cross-modality modeling in domain adap- tation for 3d semantic segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Mx2m: Masked cross-modality modeling in domain adap- tation for 3d semantic segmentation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.892503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b8f65eb5-dd2c-4a74-9dea-858ff2d9153f · outbound

This paper cites Camliflow: Bidirectional camera-lidar fusion for joint optical flow and scene flow estimation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Camliflow: Bidirectional camera-lidar fusion for joint optical flow and scene flow estimation,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.880004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 531f777e-4a3d-48d1-95bf-66ba784216e4 · outbound

This paper cites Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Mseg3d: Multi-modal 3d semantic segmentation for autonomous driving,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.869006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 96fcbbea-8c3a-44d3-adb1-f7d28113e7c6 · outbound

This paper cites Goodsam: Bridging domain and capacity gaps via segment anything model for distortion-aware panoramic semantic segmenta- tion,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Goodsam: Bridging domain and capacity gaps via segment anything model for distortion-aware panoramic semantic segmenta- tion,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.857759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09d1b9ee-7ff2-46cd-8b2e-49568a5ed681 · outbound

This paper cites GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization GoodSAM++: Bridging Domain and Capacity Gaps via Segment Anything Model for Panoramic Semantic Segmentation

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:46.347908Z

Source-reported events for the cited work

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Observation 1826d523-2824-4997-a203-e0b6b4c43de9 · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:46.351695Z

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Observation c578fdef-cba3-49d9-b58b-71c2b6c3ac0e · outbound

This paper cites MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:46.355829Z

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Observation 3a1e8445-df4f-495f-b8a1-a2b33237d699 · outbound

This paper cites Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:46.359722Z

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Observation bcb9b697-cec3-42d7-b913-1dd6e0bdc02f · outbound

This paper cites Omnisam: Omnidirectional segment anything model for UDA in panoramic semantic segmenta- tion,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Omnisam: Omnidirectional segment anything model for UDA in panoramic semantic segmenta- tion,

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:46.363750Z

Source-reported events for the cited work

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Observation be38c5d3-7d95-477d-b745-eefecf728266 · outbound

This paper cites EventDance++: Language-guided Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization EventDance++: Language-guided Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:46.367145Z

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Observation 950dbe39-c5f1-4b49-9b80-e32ff74ef19f · outbound

This paper cites Multi- modal material segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Multi- modal material segmentation,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.845057Z

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Observation 916ff826-c493-49c7-ae9d-f9dc9e470e21 · outbound

This paper cites Hrfuser: A multi-resolution sensor fusion architecture for 2d object detection,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Hrfuser: A multi-resolution sensor fusion architecture for 2d object detection,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.833239Z

Source-reported events for the cited work

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Observation ccd010b6-a390-4e70-9d5f-91633c690372 · outbound

This paper cites Mmanet: Margin-aware distillation and modality-aware regularization for incom- plete multimodal learning,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Mmanet: Margin-aware distillation and modality-aware regularization for incom- plete multimodal learning,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.820652Z

Source-reported events for the cited work

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Observation b6e823fa-545c-497d-969a-a11faa35243b · outbound

This paper cites Bev-guided multi- modality fusion for driving perception,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Bev-guided multi- modality fusion for driving perception,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.809307Z

Source-reported events for the cited work

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Observation a3e69f7e-d05b-4ef1-bded-d20d35cf32bb · outbound

This paper cites CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T22:44:46.384959Z

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Observation 8b385911-9b34-4c04-af58-72013c17d1d1 · outbound

This paper cites Fourier prompt tun- ing for modality-incomplete scene segmentation,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Fourier prompt tun- ing for modality-incomplete scene segmentation,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.796818Z

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Observation 2b09f917-449b-492c-9b30-a4ffb493d3b0 · outbound

This paper cites Multi- modal prompting with missing modalities for visual recog- nition,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Multi- modal prompting with missing modalities for visual recog- nition,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.784437Z

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Observation a6f4f2e6-823e-466a-8959-59a3978bcb88 · outbound

This paper cites Mul- timae: Multi-modal multi-task masked autoencoders,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Mul- timae: Multi-modal multi-task masked autoencoders,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.772483Z

Source-reported events for the cited work

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Observation be2e5147-eecf-4448-9993-a2842dd0497c · outbound

This paper cites Muses: The multi-sensor semantic perception dataset for driving under uncertainty,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Muses: The multi-sensor semantic perception dataset for driving under uncertainty,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.759652Z

Source-reported events for the cited work

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Observation 0c6d8ce2-cc9d-4220-b934-931a253d7c99 · outbound

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

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Cmx: Cross-modal fusion for rgb-x semantic segmen- tation with transformers,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.747579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 09792c4d-c138-47ad-bd06-467daa848f4a · outbound

This paper cites Muses: The multi-sensor semantic perception dataset for driving under uncertainty,.

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization Muses: The multi-sensor semantic perception dataset for driving under uncertainty,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:44:46.735588Z

Source-reported events for the cited work

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Pith citing papers

Observation 454cc9cf-1b17-4005-8136-0d1836f1f01c · inbound

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

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:32:24.838004Z

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Observation e45e6ac9-3e93-41c6-abc1-da0260c12089 · inbound

EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation cites this paper.

EGFormer: Towards Efficient and Generalizable Multimodal Semantic Segmentation Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:30.492138Z

Source-reported events for the cited work

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Observation 9eaf1cb3-d80c-4765-8697-b2d87d7cbae4 · inbound

MLLMs are Deeply Affected by Modality Bias cites this paper.

MLLMs are Deeply Affected by Modality Bias Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T14:30:22.147211Z

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Observation c7243d09-eeae-4c5f-a155-1e5b031e0ed9 · inbound

BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation cites this paper.

BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:04:00.581807Z

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Observation 8e1c273b-7338-45da-88d4-416ccc4dbf91 · inbound

Partial CLIP is Enough: Chimera-Seg for Zero-shot Semantic Segmentation cites this paper.

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Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:17:54.427094Z

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