Paper Citation Record · LEDGER

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation

As of 8 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2505.24361.

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

pith.paper-citation-record.v1
2505.24361 v1

Coverage vector

measured 39 of 39 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-07T12:31:29.642442Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 28ad3105-aecf-4f90-8e41-c0cf752358d7 · outbound

This paper cites The modality focusing hypothesis: Towards under- standing crossmodal knowledge distillation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation The modality focusing hypothesis: Towards under- standing crossmodal knowledge distillation,

Reference 1

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Observation dab23807-88af-4fcd-9833-3391cf2875cb · outbound

This paper cites Model compression,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Model compression,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:31:34.326750Z

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Observation 60401841-2dfe-4694-8c2c-b157743d8768 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Distilling the Knowledge in a Neural Network

Reference 3

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Observation 30b0b901-11e5-4297-b000-cfebfc54f9d2 · outbound

This paper cites Multi-level logit distillation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Multi-level logit distillation,

Reference 4

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Observation 52888dcc-47f7-4c04-adc8-e611ac520f47 · outbound

This paper cites Class attention transfer based knowledge distillation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Class attention transfer based knowledge distillation,

Reference 5

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Observation 9b355d41-6e31-4373-8f2e-5c770d3dca1b · outbound

This paper cites Knowledge Distillation from A Stronger Teacher.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Knowledge Distillation from A Stronger Teacher

Reference 6

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Observation 80993ce9-590d-4189-b628-09b79a223fae · outbound

This paper cites Lite-mkd: A multi-modal knowledge distillation framework for lightweight few-shot action recognition,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Lite-mkd: A multi-modal knowledge distillation framework for lightweight few-shot action recognition,

Reference 7

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Observation c3d3cfaa-bb36-4ed8-be13-e415f11fda0b · outbound

This paper cites Cross-modal distillation for rgb- depth person re-identification,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Cross-modal distillation for rgb- depth person re-identification,

Reference 8

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Observation fada5fb2-c376-4562-8b28-639d262f0132 · outbound

This paper cites Knowledge distillation from multi-modal to mono-modal segmentation networks.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Knowledge distillation from multi-modal to mono-modal segmentation networks

Reference 9

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Observation 51822a35-7854-4ed1-82fc-bc3e6497b26a · outbound

This paper cites Acnet: Attention based network to exploit comple- mentary features for rgbd semantic segmentation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Acnet: Attention based network to exploit comple- mentary features for rgbd semantic segmentation,

Reference 10

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Observation 02a4db32-b6ae-430e-965a-69e19d46d0e9 · outbound

This paper cites FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Reference 11

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Observation 654f9d07-b0e3-47ca-ad07-5a0696b50bde · outbound

This paper cites Fusenet: Incorporating depth into se- mantic segmentation via fusion-based cnn architecture,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Fusenet: Incorporating depth into se- mantic segmentation via fusion-based cnn architecture,

Reference 12

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Observation 7cdea9bc-b8f2-44d2-b0d8-2c9360ff56c2 · outbound

This paper cites Indoor semantic segmentation using depth information,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Indoor semantic segmentation using depth information,

Reference 13

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Observation 0b9a7962-18ab-439d-b711-0d672488622c · outbound

This paper cites Pixel difference convolutional network for rgb-d semantic segmentation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Pixel difference convolutional network for rgb-d semantic segmentation,

Reference 14

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Observation 308946b6-3f30-409c-bb91-5f72d1923387 · outbound

This paper cites Rdfnet: Rgb-d multi-level residual feature fusion for indoor semantic segmentation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Rdfnet: Rgb-d multi-level residual feature fusion for indoor semantic segmentation,

Reference 15

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Observation 638a579c-0351-47d4-8e6e-96e6abadf44c · outbound

This paper cites RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation

Reference 16

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Observation 48e0426b-0c37-4842-bc87-0374c1dbaa3f · outbound

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

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Context-aware interaction network for rgb-t semantic segmenta- tion,

Reference 17

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

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Fuseseg: Semantic segmentation of urban scenes based on rgb and thermal data fusion,

Reference 18

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Observation 8c5984b6-0acb-4a98-9adc-3dc460091932 · outbound

This paper cites Masked generative distillation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Masked generative distillation,

Reference 19

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Observation 7d504c3b-2bd6-4f5d-aa93-087eb9197d71 · outbound

This paper cites Prototype knowledge distillation for medical segmentation with missing modality,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Prototype knowledge distillation for medical segmentation with missing modality,

Reference 20

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Observation 90513cae-b5a0-4d44-9cc5-db87e7e739d9 · outbound

This paper cites Rethinking knowledge distillation with raw features for semantic segmentation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Rethinking knowledge distillation with raw features for semantic segmentation,

Reference 21

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Observation 8d349e99-7024-4ba9-bb6c-02e8f25a27a3 · outbound

This paper cites Disentangled representation learn- ing,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Disentangled representation learn- ing,

Reference 22

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This paper cites Learning Factorized Multimodal Representations.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Learning Factorized Multimodal Representations

Reference 23

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This paper cites Learning disentangled representation for multimodal cross-domain sentiment analysis,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Learning disentangled representation for multimodal cross-domain sentiment analysis,

Reference 24

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This paper cites Pre- dict, prevent, and evaluate: Disentangled text-driven image manipulation empowered by pre- trained vision-language model,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Pre- dict, prevent, and evaluate: Disentangled text-driven image manipulation empowered by pre- trained vision-language model,

Reference 25

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This paper cites Towards counterfactual image manipulation via clip,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Towards counterfactual image manipulation via clip,

Reference 26

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Observation 765a8b2a-8533-4643-aea3-4a8e8e15a291 · outbound

This paper cites Disentangling visual and written concepts in clip,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Disentangling visual and written concepts in clip,

Reference 27

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Observation 38515c32-1ca0-4c72-bf31-b9f0e59d1531 · outbound

This paper cites Discom-kd: Cross-modal knowledge distillation via disentangle- ment representation and adversarial learning,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Discom-kd: Cross-modal knowledge distillation via disentangle- ment representation and adversarial learning,

Reference 28

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This paper cites mixup: Beyond Empirical Risk Minimization.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation mixup: Beyond Empirical Risk Minimization

Reference 29

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This paper cites Representation Learning with Contrastive Predictive Coding.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Representation Learning with Contrastive Predictive Coding

Reference 30

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Observation bf746263-8887-4674-902d-c153eb433929 · outbound

This paper cites Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation

Reference 31

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This paper cites Indoor segmentation and support inference from rgbd images,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Indoor segmentation and support inference from rgbd images,

Reference 32

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This paper cites Omnivore: A single model for many visual modalities,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Omnivore: A single model for many visual modalities,

Reference 33

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This paper cites Urban modelling and semantic labelling benchmark,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Urban modelling and semantic labelling benchmark,

Reference 34

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Observation 656553fe-0837-4104-a47b-9aa27ac420b1 · outbound

This paper cites General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation General-Purpose Multimodal Transformer meets Remote Sensing Semantic Segmentation

Reference 35

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Observation 06c4035f-a4e2-4442-8669-e292541e6da4 · outbound

This paper cites Mid-air: A multi-modal dataset for extremely low altitude drone flights,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Mid-air: A multi-modal dataset for extremely low altitude drone flights,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:31:30.767609Z

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Observation 904d8e21-0302-4aa9-958f-dd891b37e95f · outbound

This paper cites Unifying distillation and privileged information.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Unifying distillation and privileged information

Reference 37

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Observation ff867cd8-97d9-41e4-be89-ad6302efed69 · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation Encoder-decoder with atrous separable convolution for semantic image segmentation,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:31:30.609341Z

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Observation 3bae90ae-14c9-47f1-b187-d6ef6a55b2ba · outbound

This paper cites The modality focusing hypothesis: Towards under- standing crossmodal knowledge distillation,.

Revisiting Cross-Modal Knowledge Distillation: A Disentanglement Approach for RGBD Semantic Segmentation The modality focusing hypothesis: Towards under- standing crossmodal knowledge distillation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:31:30.474724Z

Source-reported events for the cited work

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Pith citing papers

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