Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:07:13.963157Z
Paper Citation Record · LEDGER
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects
As of 20 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2505.10841.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
47 of 47 outbound references displayed
- verified exact1
- verified fuzzy33
- unresolved13
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fb3cc1dd-caf5-482c-905b-03612adce6d9 · outbound
This paper cites Zs6d: Zero-shot 6d object pose estimation using vision transformers.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Zs6d: Zero-shot 6d object pose estimation using vision transformers
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.834268Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef2c87a9-29f7-45c7-b333-45932bdb507e · outbound
This paper cites A stereo vision approach for cooperative robotic movement therapy.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects A stereo vision approach for cooperative robotic movement therapy
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.360419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 08647f69-29b3-4fd9-9d51-a6f6f0a99125 · outbound
This paper cites Reconstruct locally, localize glob- ally: A model free method for object pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Reconstruct locally, localize glob- ally: A model free method for object pose estimation
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.351710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d19674bc-674d-4e63-a08c-59315be225e7 · outbound
This paper cites ShapeNet: An Information-Rich 3D Model Repository.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects ShapeNet: An Information-Rich 3D Model Repository
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.844464Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3161c95-0c71-4560-bdab-42198ad96255 · outbound
This paper cites Multi-view 3d object detection network for autonomous driving.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Multi-view 3d object detection network for autonomous driving
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.847780Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 547c308b-f643-43f3-8151-a164eff6472a · outbound
This paper cites Category level object pose estimation via neu- ral analysis-by-synthesis.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Category level object pose estimation via neu- ral analysis-by-synthesis
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.336471Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cc4e100a-7163-425d-b840-9ca05db74bc5 · outbound
This paper cites So-pose: Exploiting self- occlusion for direct 6d pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects So-pose: Exploiting self- occlusion for direct 6d pose estimation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.327371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 253850b8-8a4d-4763-8124-11c4bf11157f · outbound
This paper cites Flownet: Learning optical flow with convolutional networks.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Flownet: Learning optical flow with convolutional networks
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.856510Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1ec83a6-96fb-478a-a6be-8c4112a90cad · outbound
This paper cites Google scanned objects: A high- quality dataset of 3d scanned household items.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Google scanned objects: A high- quality dataset of 3d scanned household items
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.859857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3516ae15-fb99-42c2-ad22-511948190df7 · outbound
This paper cites Shape- constraint recurrent flow for 6d object pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Shape- constraint recurrent flow for 6d object pose estimation
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.307578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation f57ddcd9-a0c1-48d2-9aa9-e83ce1c463fc · outbound
This paper cites Epos: Esti- mating 6d pose of objects with symmetries.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Epos: Esti- mating 6d pose of objects with symmetries
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.298907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 20be4887-d900-462f-abf2-e701d8f29ca7 · outbound
This paper cites Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Bop challenge 2023 on detection segmentation and pose estimation of seen and unseen rigid objects
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.290184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation af281030-ea5d-474a-be0e-c0a4c16f5063 · outbound
This paper cites Perspective flow aggregation for data-limited 6d object pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Perspective flow aggregation for data-limited 6d object pose estimation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.282241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aaa7c25c-5780-4c77-90a0-70bfb3b895f7 · outbound
This paper cites Cosypose: Consistent multi-view multi-object 6d pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Cosypose: Consistent multi-view multi-object 6d pose estimation
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.274170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7b6df7a5-6225-436a-b21e-2f867557a78b · outbound
This paper cites MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.876429Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 165b32b9-af39-4a16-8b84-dfae270cd8fb · outbound
This paper cites Ep n p: An accurate o (n) solution to the p n p problem.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Ep n p: An accurate o (n) solution to the p n p problem
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.265977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4a834090-818f-4d39-8978-7410d85c9347 · outbound
This paper cites Polarmesh: A star-convex 3d shape approximation for object pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Polarmesh: A star-convex 3d shape approximation for object pose estimation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.257945Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 05950cf4-154e-44b3-8769-09a9634e77ec · outbound
This paper cites Deepim: Deep iterative matching for 6d pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Deepim: Deep iterative matching for 6d pose estimation
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.247994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cfed7404-86a0-4d3d-9b34-8c24ded38dcb · outbound
This paper cites Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Cdpn: Coordinates-based disentangled pose network for real-time rgb-based 6-dof object pose estimation
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.239206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aa6ff43a-c24b-4309-a8be-56e6b991de5f · outbound
This paper cites Checkerpose: Progressive dense keypoint localization for object pose estimation with graph neural network.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Checkerpose: Progressive dense keypoint localization for object pose estimation with graph neural network
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.230229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 305e06f7-df4d-4fc0-a2b4-2a0fcb77f1d8 · outbound
This paper cites Decoupled Weight Decay Regularization.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Decoupled Weight Decay Regularization
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.892716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation be783178-05b9-477d-b3a9-ca4cf41762c0 · outbound
This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects SGDR: Stochastic Gradient Descent with Warm Restarts
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.895412Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51137bd8-b8ae-4fa0-9784-fd8be0308525 · outbound
This paper cites Roi- 10d: Monocular lifting of 2d detection to 6d pose and met- ric shape.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Roi- 10d: Monocular lifting of 2d detection to 6d pose and met- ric shape
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.221524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0b642b57-8d38-438e-b18f-dad8c6ed4950 · outbound
This paper cites CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.900832Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e722f7de-6b8b-4cc3-b435-22b468662355 · outbound
This paper cites Pose estimation for augmented reality: a hands-on survey.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Pose estimation for augmented reality: a hands-on survey
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.212615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 981d19ca-0757-4112-8a3d-02eafd8c3869 · outbound
This paper cites A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects A large dataset to train convolutional networks for disparity, optical flow, and scene flow estimation
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.906838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64f86e24-d5f5-4d37-b1f8-d4d7f1ecd848 · outbound
This paper cites Nerf: Representing scenes as neural radiance fields for view syn- thesis.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Nerf: Representing scenes as neural radiance fields for view syn- thesis
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.909465Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e1c12a9-3178-4a9a-8615-981e33f77167 · outbound
This paper cites Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.193416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 54f6593d-4776-403f-a317-0c9352eaa5f4 · outbound
This paper cites Cnos: A strong base- line for cad-based novel object segmentation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Cnos: A strong base- line for cad-based novel object segmentation
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.185081Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a528b045-61ec-4538-b377-b841b464b22a · outbound
This paper cites Gigapose: Fast and robust novel object pose estimation via one correspondence.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Gigapose: Fast and robust novel object pose estimation via one correspondence
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.177090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 67faae26-6bb8-4438-aae4-7c1609ad22e9 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects DINOv2: Learning Robust Visual Features without Supervision
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.920219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 49c410ed-663a-4e18-8e46-ff79858875a5 · outbound
This paper cites Found- pose: Unseen object pose estimation with foundation fea- tures.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Found- pose: Unseen object pose estimation with foundation fea- tures
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.168887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation cbb127fa-1778-4cf3-bdab-28d1f27b8e98 · outbound
This paper cites Dprost: Dynamic projec- tive spatial transformer network for 6d pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Dprost: Dynamic projec- tive spatial transformer network for 6d pose estimation
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.159870Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation da92ad0b-3844-4570-bfc1-dcde23bb0ada · outbound
This paper cites Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T21:07:13.989466Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 20fbf846-e43c-405d-9f98-4c263232cf18 · outbound
This paper cites Pix2pose: Pixel-wise coordinate regression of objects for 6d pose esti- mation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Pix2pose: Pixel-wise coordinate regression of objects for 6d pose esti- mation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.150812Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8577519e-c537-4287-8f07-aec7bc0138f9 · outbound
This paper cites Robot guidance using ma- chine vision techniques in industrial environments: A com- parative review.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Robot guidance using ma- chine vision techniques in industrial environments: A com- parative review
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.141928Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 10fe2aa8-ebf2-4e61-abac-385a2748be96 · outbound
This paper cites Bb8: A scalable, accu- rate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Bb8: A scalable, accu- rate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.133030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 172737c5-9d14-46bd-890c-eebb213e6e3d · outbound
This paper cites 6dof object tracking based on 3d scans for augmented reality remote live support.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects 6dof object tracking based on 3d scans for augmented reality remote live support
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.123316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 16692dbe-3b6b-4186-8f4c-fccef1d5da74 · outbound
This paper cites U- net: Convolutional networks for biomedical image segmen- tation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects U- net: Convolutional networks for biomedical image segmen- tation
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:07:13.942167Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d315642-fdda-4c38-887d-e30ecf761b33 · outbound
This paper cites Binary cross entropy with deep learning technique for image classification.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Binary cross entropy with deep learning technique for image classification
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.109032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 42f2dd1c-5cd4-487d-85d5-ded4874a7403 · outbound
This paper cites Osop: A multi-stage one shot object pose estimation frame- work.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Osop: A multi-stage one shot object pose estimation frame- work
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.100327Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 71c8083b-b326-4cc2-bec0-ddf1e507673d · outbound
This paper cites Zebrapose: Coarse to fine surface encod- ing for 6dof object pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Zebrapose: Coarse to fine surface encod- ing for 6dof object pose estimation
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.091354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 152d0165-275d-434f-a94b-3708e202acde · outbound
This paper cites Raft: Recurrent all-pairs field transforms for optical flow.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Raft: Recurrent all-pairs field transforms for optical flow
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.082142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3391a922-075f-49cc-92bc-b22997540347 · outbound
This paper cites Real-time seamless single shot 6d object pose prediction.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Real-time seamless single shot 6d object pose prediction
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.073445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5a387025-32fe-4997-b0f3-1aac6d75c665 · outbound
This paper cites Gdr-net: Geometry-guided direct regression net- work for monocular 6d object pose estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Gdr-net: Geometry-guided direct regression net- work for monocular 6d object pose estimation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.065144Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 94a8793b-855d-4c33-a715-945270348da6 · outbound
This paper cites Normalized object coordinate space for category-level 6d object pose and size estimation.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Normalized object coordinate space for category-level 6d object pose and size estimation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.056818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3300e642-0909-4025-a8a8-fba463f962a5 · outbound
This paper cites Dpod: 6d pose object detector and refiner.
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects Dpod: 6d pose object detector and refiner
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:07:14.047651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.