Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions | Paper Citation Record

Observation 1ab4e5a7-cd8f-4764-9dab-facadf2cf427 · outbound

This paper cites Densefusion: 6d object pose estimation by iterative dense fusion,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Densefusion: 6d object pose estimation by iterative dense fusion,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.894180Z

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Observation 86330aab-29d4-403c-b40d-09d163e8abc3 · outbound

This paper cites Posecnn: A convolu- tional neural network for 6d object pose estimation in cluttered scenes,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Posecnn: A convolu- tional neural network for 6d object pose estimation in cluttered scenes,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.881799Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 27bccec9-5345-4364-8595-9d58c9885f29 · outbound

This paper cites Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object Pose Uncertainty.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Robotic Task Success Evaluation Under Multi-modal Non-Parametric Object Pose Uncertainty

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:14.083087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed6c82f5-9f4b-44ab-ba2f-77199b2d69c9 · outbound

This paper cites Computer vision systems for industrial inspection and assembly,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Computer vision systems for industrial inspection and assembly,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.869876Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cbfef520-7cde-4ca6-bf2e-e102b13d383a · outbound

This paper cites Vision-guided robotic assembly using uncalibrated vision,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Vision-guided robotic assembly using uncalibrated vision,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.858516Z

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Observation 7a975669-9042-4bfc-a2a6-7e3a1a21988f · outbound

This paper cites Stereo vision based automation for a bin-picking solution,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Stereo vision based automation for a bin-picking solution,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.846866Z

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Observation 8eef07cc-7365-4793-a29c-db5b8e862c94 · outbound

This paper cites Depth image–based deep learning of grasp planning for textureless planar-faced objects in vision-guided robotic bin-picking,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Depth image–based deep learning of grasp planning for textureless planar-faced objects in vision-guided robotic bin-picking,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.834562Z

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Observation 7a842752-a189-4efb-b7e7-8430efcf8367 · outbound

This paper cites A machine learning approach for collaborative robot smart manufacturing inspection for quality control systems,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions A machine learning approach for collaborative robot smart manufacturing inspection for quality control systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.822036Z

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Observation 19117698-933c-4db9-b8c6-00599587a0e2 · outbound

This paper cites Self-learning processes in smart factories: Deep reinforcement learning for process control of robot brine injection,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Self-learning processes in smart factories: Deep reinforcement learning for process control of robot brine injection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.809354Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7a605a13-e8e0-490b-a334-adc7b1165166 · outbound

This paper cites Explaining the ambiguity of object detection and 6d pose from visual data,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Explaining the ambiguity of object detection and 6d pose from visual data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.796878Z

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Observation b22a7e2f-476d-4d83-8e75-2af5b0ec8863 · outbound

This paper cites Confronting ambiguity in 6d object pose estimation via score-based diffusion on se(3),.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Confronting ambiguity in 6d object pose estimation via score-based diffusion on se(3),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.784335Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b9744b7-b6d3-43fd-9f9c-de2bf757980d · outbound

This paper cites Spyropose: Se(3) pyramids for object pose distribution estimation,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Spyropose: Se(3) pyramids for object pose distribution estimation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.771572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 33cdebf5-b2b4-419c-ac6a-94460b7bb432 · outbound

This paper cites T-less: An rgb-d dataset for 6d pose estimation of texture-less objects,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions T-less: An rgb-d dataset for 6d pose estimation of texture-less objects,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.759189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f908e46d-860f-41fc-832d-1cdb83bcbdb9 · outbound

This paper cites Implicit-pdf: Non-parametric representation of probability distributions on the rotation manifold,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Implicit-pdf: Non-parametric representation of probability distributions on the rotation manifold,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.746744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f01989fb-01fd-415d-a1dd-af69fbf8ff1a · outbound

This paper cites Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Surfemb: Dense and continuous correspondence distributions for object pose estimation with learnt surface embeddings,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.734603Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f63075c-26ca-41df-a7a6-bddb8fdde6f9 · outbound

This paper cites Megapose: 6d pose estimation of novel objects via render & compare,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Megapose: 6d pose estimation of novel objects via render & compare,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.721908Z

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Observation e7e054ea-5090-4060-b4a8-2a7e5f78f152 · outbound

This paper cites Augmented autoencoders: Implicit 3d orientation learning for 6d object detection,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Augmented autoencoders: Implicit 3d orientation learning for 6d object detection,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.709617Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1fb9c700-533c-4f1e-9eda-ced8e7bd511c · outbound

This paper cites Zebrapose: Coarse to fine surface encoding for 6dof object pose estimation,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Zebrapose: Coarse to fine surface encoding for 6dof object pose estimation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.698232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c133888f-a269-415b-a1fc-89c9b57db2e1 · outbound

This paper cites Dpod: 6d pose object detector and refiner,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Dpod: 6d pose object detector and refiner,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.686682Z

Source-reported events for the cited work

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Observation 0700656e-7bdd-418b-a4dd-ff3cd22d892a · outbound

This paper cites Gdr-net: Geometry- guided direct regression network for monocular 6d object pose estima- tion,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Gdr-net: Geometry- guided direct regression network for monocular 6d object pose estima- tion,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.673840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9a69bc5d-52e5-4dae-b0d1-457f506a7143 · outbound

This paper cites Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Pix2pose: Pixel-wise coordinate regression of objects for 6d pose estimation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.661067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 26ac5f86-0642-4f36-a901-069f86d30566 · outbound

This paper cites Yolo-6d-pose: Enhanc- ing yolo for single-stage monocular multi-object 6d pose estimation,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Yolo-6d-pose: Enhanc- ing yolo for single-stage monocular multi-object 6d pose estimation,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.647635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 174a59d5-4a41-44a0-b2ab-a89041561594 · outbound

This paper cites GPose2023, a submission to the BOP Challenge 2023,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions GPose2023, a submission to the BOP Challenge 2023,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.635107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 30a105a2-c243-4120-95b4-86703b4eafa1 · outbound

This paper cites Bop challenge 2020 on 6d object localization,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Bop challenge 2020 on 6d object localization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.622552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 90d7a84c-2ffb-47dc-b31c-15713f657ff4 · outbound

This paper cites Complete solution classification for the perspective-three-point problem,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Complete solution classification for the perspective-three-point problem,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.609970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d2d761a-dad2-456e-b2e7-bd0a79ee7be2 · outbound

This paper cites Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.597656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3ac2592-8542-4e0a-8c9a-e827e5ce249c · outbound

This paper cites Bop-distrib: Revisiting 6d pose estimation benchmark for better evaluation under visual ambiguities,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Bop-distrib: Revisiting 6d pose estimation benchmark for better evaluation under visual ambiguities,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.585194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 724db690-f07f-42ac-901a-b64d04c2e8e5 · outbound

This paper cites Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.572757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9d463ff9-463c-4eda-80c1-3bb571678829 · outbound

This paper cites Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.560161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a5b636fb-6aa4-4b3f-8cb1-4f9c1df7604e · outbound

This paper cites 6d-diff: A keypoint diffusion framework for 6d object pose estimation,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions 6d-diff: A keypoint diffusion framework for 6d object pose estimation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.546698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 275c0ecf-ef5b-4725-927e-68fd08402909 · outbound

This paper cites Dense object nets: Learn- ing dense visual object descriptors by and for robotic manipulation,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Dense object nets: Learn- ing dense visual object descriptors by and for robotic manipulation,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.535298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 17416ca6-5da5-404c-9ef8-2e3b5c60743d · outbound

This paper cites Posenet: A convolutional network for real-time 6-dof camera relocalization,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Posenet: A convolutional network for real-time 6-dof camera relocalization,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.523507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05725a47-6316-4bc8-94c2-3d43f6a05a9e · outbound

This paper cites Real-time seamless single shot 6d object pose prediction,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Real-time seamless single shot 6d object pose prediction,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.511262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c37d2d70-6c0f-4920-bd33-b7cce97e00f1 · outbound

This paper cites Cosypose: Consistent multi-view multi-object 6d pose estimation,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Cosypose: Consistent multi-view multi-object 6d pose estimation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.499160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ae0259d-8e34-4db3-b713-564892d05b09 · outbound

This paper cites Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Ssd-6d: Making rgb-based 3d detection and 6d pose estimation great again,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.485806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f564847b-d19f-44d4-a946-e8c6e0058aaa · outbound

This paper cites Osop: A multi-stage one shot object pose estimation framework,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Osop: A multi-stage one shot object pose estimation framework,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.472918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8baefbe1-ac21-44fe-9e58-820764ef5ae5 · outbound

This paper cites Templates for 3d object pose estimation revisited: Generalization to new objects and robustness to occlusions,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Templates for 3d object pose estimation revisited: Generalization to new objects and robustness to occlusions,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.459544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8c916714-c5b3-487f-910d-b0e0e3136117 · outbound

This paper cites Hyperposepdf - hyper- networks predicting the probability distribution on so(3),.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Hyperposepdf - hyper- networks predicting the probability distribution on so(3),

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.444941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5f24e82c-b713-414a-ae73-858176b6a6c3 · outbound

This paper cites Sc6d: Symmetry-agnostic and correspondence-free 6d object pose estimation,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Sc6d: Symmetry-agnostic and correspondence-free 6d object pose estimation,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.430912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4a5e9732-7a80-4f70-b5b0-6154f45e01d9 · outbound

This paper cites Ki-pode: Keypoint- based implicit pose distribution estimation of rigid objects,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Ki-pode: Keypoint- based implicit pose distribution estimation of rigid objects,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.418258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7821eca2-ca2d-44a1-bcb8-f215f6108077 · outbound

This paper cites 3d-rcnn: Instance-level 3d object reconstruction via render-and-compare,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions 3d-rcnn: Instance-level 3d object reconstruction via render-and-compare,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.405186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dca918c8-0345-48b0-adaa-902e9d5b4350 · outbound

This paper cites Generating uniform incremental grids on so (3) using the hopf fibration,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Generating uniform incremental grids on so (3) using the hopf fibration,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.391850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a9472601-bc29-491b-8d54-2182078d1f1c · outbound

This paper cites Deep residual learning for image recognition,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Deep residual learning for image recognition,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:14.236523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2bf5d4d-2d37-4f76-af40-36c940fbb953 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Imagenet: A large-scale hierarchical image database,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.370441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 907018d7-9f6a-4a21-81ef-a53d6492caef · outbound

This paper cites Implicit neural representations with periodic activation functions,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions Implicit neural representations with periodic activation functions,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.358066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e6b0f1c-1873-43f4-a78d-98de15c6b7d0 · outbound

This paper cites On the continuity of rotation representations in neural networks,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions On the continuity of rotation representations in neural networks,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T00:57:14.248642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99f6bf69-1342-42b0-ae71-96ed46fa8bb9 · outbound

This paper cites HccePose2024, a submission to the BOP Challenge 2024,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions HccePose2024, a submission to the BOP Challenge 2024,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.337047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b3415159-b6fe-4909-9ef0-5556676c3b82 · outbound

This paper cites GDet2023, a submission to the BOP Challenge 2023,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions GDet2023, a submission to the BOP Challenge 2023,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.324140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7397ae80-e65b-4e09-8557-12f7a5ab62f6 · outbound

This paper cites GDRNPPDet, a submission to the BOP Challenge 2022,.

Corr2Distrib: Making Ambiguous Correspondences an Ally to Predict Reliable 6D Pose Distributions GDRNPPDet, a submission to the BOP Challenge 2022,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:57:14.310010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers