Paper Citation Record · LEDGER

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation

As of 4 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2607.17754.

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

pith.paper-citation-record.v1
2607.17754 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:08:58.001742Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 0 of 0 inbound itemization

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

34 of 34 outbound references displayed

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verified fuzzy0
unresolved34
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d0ed9b17-427a-444f-9fcc-127d9311a971 · outbound

This paper cites Depth-aware cnn for rgb-d segmenta- tion,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Depth-aware cnn for rgb-d segmenta- tion,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:54.875628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17f02d92-675c-456e-b510-7f4be8c60dfb · outbound

This paper cites A brief survey on rgb- d semantic segmentation using deep learning,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation A brief survey on rgb- d semantic segmentation using deep learning,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:54.990657Z

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Observation f6114f73-272a-4c18-8d4b-a8f757e721a5 · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.107754Z

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Observation 9dc4b705-80fc-4fc6-9b0b-d4ac6b6b57d8 · outbound

This paper cites Easylabel: A semi-automatic pixel-wise object annotation tool for creating robotic rgb-d datasets,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Easylabel: A semi-automatic pixel-wise object annotation tool for creating robotic rgb-d datasets,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.175768Z

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Observation 01967b40-274f-4b47-a6ca-625025903a6d · outbound

This paper cites Fpcc: Fast point cloud clustering-based instance segmentation for industrial bin-picking,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Fpcc: Fast point cloud clustering-based instance segmentation for industrial bin-picking,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.247351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4cd7bdb1-cbed-4a62-993b-44010e1d973b · outbound

This paper cites A convolutional neural net- work for point cloud instance segmentation in cluttered scene trained by synthetic data without color,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation A convolutional neural net- work for point cloud instance segmentation in cluttered scene trained by synthetic data without color,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.389053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d7f2808-abf4-4b9f-969b-5a1d2eca4afa · outbound

This paper cites MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse Synthesis

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.497554Z

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Unavailable: canonical work link unavailable.

Observation b3506b42-0aa8-4fcc-a4f5-e81ccbd6bca8 · outbound

This paper cites Metagraspnet: A large-scale benchmark dataset for scene-aware am- bidextrous bin picking via physics-based metaverse synthesis,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Metagraspnet: A large-scale benchmark dataset for scene-aware am- bidextrous bin picking via physics-based metaverse synthesis,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.579594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e96199-fe6f-4e51-96dc-4f98348ded2b · outbound

This paper cites Segmentation of unknown objects in indoor environments,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Segmentation of unknown objects in indoor environments,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.675702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be90323b-064d-4b23-a788-a787c4562b5d · outbound

This paper cites Dorapicker: An autonomous picking system for general objects,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Dorapicker: An autonomous picking system for general objects,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.813759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84705aba-8bf5-4051-b0ea-b5d8c6d1bb93 · outbound

This paper cites A robust robot design for item picking,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation A robust robot design for item picking,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.868757Z

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Unavailable: canonical work link unavailable.

Observation 16ca57bb-2c6a-41d9-8230-5e7de46857d5 · outbound

This paper cites Seg2grasp: A robust modular suction grasping in bin picking,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Seg2grasp: A robust modular suction grasping in bin picking,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:55.936703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb168934-f797-4bae-97d9-b95fddab58dc · outbound

This paper cites A sim-to-real object recognition and localization framework for industrial robotic bin picking,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation A sim-to-real object recognition and localization framework for industrial robotic bin picking,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.031230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09147100-7b75-4c2c-976d-111e23ac3426 · outbound

This paper cites Mask r-cnn,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Mask r-cnn,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.114114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3f96b5d-ebe6-4695-9010-a6b23c8c294f · outbound

This paper cites The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation The best of both modes: Separately leveraging rgb and depth for unseen object instance segmentation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.211985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 441c7a9d-9c25-453c-8354-a184566438a0 · outbound

This paper cites Unseen object in- stance segmentation for robotic environments,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Unseen object in- stance segmentation for robotic environments,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.288279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 126eb0f3-3fb5-4dae-a8f6-73e1558755e2 · outbound

This paper cites Unseen object amodal instance segmentation via hierarchical occlusion mod- eling,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Unseen object amodal instance segmentation via hierarchical occlusion mod- eling,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.424156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84da1eca-a68f-4177-a31c-94187ce8b3db · outbound

This paper cites Per-pixel classification is not all you need for semantic segmentation,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Per-pixel classification is not all you need for semantic segmentation,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.542316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f29945d2-8984-4b06-a4a5-63b27af74bb2 · outbound

This paper cites Masked-attention mask transformer for universal image segmenta- tion,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Masked-attention mask transformer for universal image segmenta- tion,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.644635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9a80c7f-0bb9-481e-97cc-66174be03666 · outbound

This paper cites Learning rgb-d feature embeddings for unseen object instance segmentation,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Learning rgb-d feature embeddings for unseen object instance segmentation,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.740829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c82d2215-5197-4bc5-bfc8-14d6bdb67dac · outbound

This paper cites Mean Shift Mask Transformer for Unseen Object Instance Segmentation.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Mean Shift Mask Transformer for Unseen Object Instance Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.864523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 747c0b4f-7819-4a25-bd59-94e44fc57228 · outbound

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

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Fuseseg: Semantic segmentation of urban scenes based on rgb and thermal data fusion,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:56.951985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1263a35f-1017-4dfe-b463-4c2970b727ba · outbound

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

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Cmx: Cross-modal fusion for rgb-x semantic segmentation with transform- ers,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.065051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dcc429e-7d94-4aa9-96da-1bc26160a40f · outbound

This paper cites Early or late fusion matters: Efficient rgb- d fusion in vision transformers for 3d object recognition,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Early or late fusion matters: Efficient rgb- d fusion in vision transformers for 3d object recognition,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.144237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 061eb6bd-9155-4343-b932-18c961abe166 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.218943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60edc5db-765e-484b-b8a7-c5eb360f2cdd · outbound

This paper cites Cross-modal attention fusion network for rgb-d semantic segmentation,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Cross-modal attention fusion network for rgb-d semantic segmentation,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.312106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c092f81-6560-4fb2-9eaf-cd55419cc783 · outbound

This paper cites Learning rich features from rgb-d images for object detection and segmentation,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Learning rich features from rgb-d images for object detection and segmentation,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.424453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d595634e-d41d-4724-bb55-cc828d7e5f2f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.530244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6377bd19-00ab-4240-a3d4-7a6c9c5eb0d7 · outbound

This paper cites Segment anything,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Segment anything,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.619967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce48b8e-722c-47ee-94d8-90b61ed4529d · outbound

This paper cites Cgnet: A light- weight context guided network for semantic segmentation,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Cgnet: A light- weight context guided network for semantic segmentation,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.697759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fb6cfc6-4aa1-45d3-80ce-25600ab2006e · outbound

This paper cites Yale-cmu-berkeley dataset for robotic manipulation research,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Yale-cmu-berkeley dataset for robotic manipulation research,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.798943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8141791-dd43-411b-a708-e4c66332a978 · outbound

This paper cites 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation 6-dof pose estimation of household objects for robotic manipulation: An accessible dataset and benchmark,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.864111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22ddafea-f8a3-403f-b4c1-718609108a44 · outbound

This paper cites Decoupled Weight Decay Regularization.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation Decoupled Weight Decay Regularization

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:57.933116Z

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Unavailable: canonical work link unavailable.

Observation d40d0245-3d57-4fcb-921c-eaa3206d12ba · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation,.

DA-Fusion: Deformable Attention-Based RGB-D Fusion Transformer for Unseen Object Instance Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T17:08:58.001742Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.