Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-15T16:19:15.019645Z
Paper Citation Record · LEDGER
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes
As of 4 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2603.03577.
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 2026-08-03T06:30:56.289259+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
51 of 51 outbound references displayed
- verified exact14
- verified fuzzy34
- unresolved1
- parse uncertain0
- malformed identifier2
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a41055f2-ac11-4dc4-9691-9cfa55115765 · outbound
This paper cites Build Once, Monitor Continuously: Persistent Semantic Mapping via Autonomous Exploration and Open-Vocabulary Object Updates.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Build Once, Monitor Continuously: Persistent Semantic Mapping via Autonomous Exploration and Open-Vocabulary Object Updates
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-06-23T02:11:56.476234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b4bf5825-d917-4ea8-a116-996c2aff020a · outbound
This paper cites Target Driven Instance Detection.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Target Driven Instance Detection
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:20:09.706720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9f4063dc-3a61-46c8-bf83-ac1d5d7b93b9 · outbound
This paper cites Surf: Speeded up robust features.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Surf: Speeded up robust features
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.253028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b41b1a0f-2103-40ce-8706-ef7a856770ed · outbound
This paper cites Perception Encoder: The best visual embeddings are not at the output of the network.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Perception Encoder: The best visual embeddings are not at the output of the network
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.731518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c3d65a4f-56e6-4436-b577-748ad2f1e5b0 · outbound
This paper cites Lee, Matthew Tan, Yuke Zhu, and Jeannette Bohg.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Lee, Matthew Tan, Yuke Zhu, and Jeannette Bohg
Reference 5
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-15T16:20:09.682162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9feaafd4-f012-4749-8bf5-90300f24e668 · outbound
This paper cites SAM 3: Segment Anything with Concepts.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes SAM 3: Segment Anything with Concepts
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.762625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b4893a1d-821f-45cd-97f2-6ae13e7c6f82 · outbound
This paper cites Emerging properties in self-supervised vision transformers.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Emerging properties in self-supervised vision transformers
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.153997Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation de8c373d-2e68-40d0-b948-4a9fb6de2d66 · outbound
This paper cites Sam-adapter: Adapting segment anything in underperformed scenes.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Sam-adapter: Adapting segment anything in underperformed scenes
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.297286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 125ac508-9f42-4e23-ae7f-c59ff79fd9eb · outbound
This paper cites A simple framework for contrastive learning of visual representations.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes A simple framework for contrastive learning of visual representations
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.232949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bf0704a2-03de-4772-aa16-f2809ffd9954 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.755151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a11fd4ec-7333-43ca-8a47-5e077eaff95e · outbound
This paper cites Cut, paste and learn: Surprisingly easy synthesis for instance detection.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Cut, paste and learn: Surprisingly easy synthesis for instance detection
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.163172Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e393676f-b3b3-4e01-b17d-d06919a72eb6 · outbound
This paper cites Lu, Michael Ferguson, and Aaron Hoy.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Lu, Michael Ferguson, and Aaron Hoy
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.265340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation afbdcc36-e4aa-4436-8e10-50a70d4dc60e · outbound
This paper cites CLIP-Adapter: Better Vision-Language Models with Feature Adapters.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes CLIP-Adapter: Better Vision-Language Models with Feature Adapters
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:20:09.709803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5b1b733d-22c3-4020-831e-84886cf4a720 · outbound
This paper cites slam gmapping.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes slam gmapping
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.179309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b6f501be-60d0-4ea0-9dc0-410bbde9709f · outbound
This paper cites Deep Learning.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Deep Learning
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.167435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 24227430-e2f8-434c-9544-2c892f05c36e · outbound
This paper cites Visual prompt tuning.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Visual prompt tuning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.183625Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 18aade42-27d4-4204-925d-61714b927386 · outbound
This paper cites Learning open-world object proposals without learning to classify.IEEE Robotics and Automation Letters, 7(2):5453–5460.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Learning open-world object proposals without learning to classify.IEEE Robotics and Automation Letters, 7(2):5453–5460
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.188746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d6aa107d-4086-4d43-b136-e4d53a543868 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Adam: A Method for Stochastic Optimization
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.718013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ef4e3499-2bf3-47a8-afac-a4587ee9f332 · outbound
This paper cites Segment anything.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Segment anything
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.202770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation c72e7065-3e44-4a6f-bed9-0ef583956ee9 · outbound
This paper cites Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Rabinowitz, Joel Veness, Guillaume Desjardins, Andrei A
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.284142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 366e8b92-c3f0-4240-a25f-debf12e61f02 · outbound
This paper cites The power of scale for parameter-efficient prompt tuning.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes The power of scale for parameter-efficient prompt tuning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.189419Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 7aa01b3f-b618-4111-afe5-63d3d40458c2 · outbound
This paper cites V oxdet: V oxel learning for novel instance detection.Advances in Neural Information Processing Systems, 36.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes V oxdet: V oxel learning for novel instance detection.Advances in Neural Information Processing Systems, 36
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.198073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 3211593f-ae47-4e5a-89f8-b46e779af54c · outbound
This paper cites Learning without for- getting.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Learning without for- getting
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.215650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 39d950f1-6eb2-4d56-9e88-0dd13ba8a87a · outbound
This paper cites Focal loss for dense object detection.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Focal loss for dense object detection
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.289028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 0d56a5c3-cfec-422e-9395-120a04a4a5c8 · outbound
This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.688974Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 44d6fdd6-989e-4c5d-ac62-4a979fa6b720 · outbound
This paper cites Gen6d: Gener- alizable model-free 6-dof object pose estimation from rgb images.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Gen6d: Gener- alizable model-free 6-dof object pose estimation from rgb images
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.220052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation be72715d-8a88-4c67-a6a5-c5d0f0360707 · outbound
This paper cites an unresolved cited work.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-05-15T16:20:10.293152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation af749a33-1e8d-4b4c-a272-fe7b9c1b6524 · outbound
This paper cites Adapting pre-trained vision models for novel instance detection and segmentation.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Adapting pre-trained vision models for novel instance detection and segmentation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.276262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation ab84c633-ad28-44d8-afa5-ddb9a8a9ded0 · outbound
This paper cites Deep template-based object instance detection.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Deep template-based object instance detection
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.280153Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 10e719fa-94c8-4dd6-a20e-a5e31a2722bd · outbound
This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes V-net: Fully convolutional neural networks for volumetric medical image segmentation
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.185378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b496a923-bbcd-4fbc-b05e-4b4f522e7566 · outbound
This paper cites Cnos: A strong baseline for cad-based novel object segmentation.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Cnos: A strong baseline for cad-based novel object segmentation
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.271661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 377dbe1b-cbf6-448b-9aa3-73634a5c3994 · outbound
This paper cites Representation Learning with Contrastive Predictive Coding.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Representation Learning with Contrastive Predictive Coding
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.767751Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5d8ef92d-a28a-4776-9b86-9ab50dcfa8b9 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes DINOv2: Learning Robust Visual Features without Supervision
Reference 33
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.702495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 8a578d08-d38c-4827-afb8-7f98ff574be3 · outbound
This paper cites Os2d: One-stage one-shot object detection by matching anchor features.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Os2d: One-stage one-shot object detection by matching anchor features
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.301788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 97106f7a-132d-4656-9995-95e131ae3442 · outbound
This paper cites Learning transferable visual models from natural lan- guage supervision.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Learning transferable visual models from natural lan- guage supervision
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.250806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6d3efdb7-bd24-49de-9418-dd07380c1d8d · outbound
This paper cites Asiful Islam Rahman and Yang Wang.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Asiful Islam Rahman and Yang Wang
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.259980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 4e55c8a7-0f0d-45c5-846a-705a7ecc7763 · outbound
This paper cites SAM 2: Segment Anything in Images and Videos.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes SAM 2: Segment Anything in Images and Videos
Reference 38
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.741436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 6c29ebf4-2f91-40a4-97f2-ab3ca1a198ca · outbound
This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information processing systems, 28.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Faster r-cnn: Towards real-time object detection with region proposal networks.Advances in neural information processing systems, 28
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.245523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 5b903bf9-af00-422a-a81e-3660211d6fcb · outbound
This paper cites Superglue: Learn- ing feature matching with graph neural networks.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Superglue: Learn- ing feature matching with graph neural networks
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.207072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 99d92e29-e711-408b-ba92-a517e3d767da · outbound
This paper cites A high-resolution dataset for instance detection with multi-view instance capture.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes A high-resolution dataset for instance detection with multi-view instance capture
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.202383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bff3eaab-7c30-4da8-830c-cae3fdb078b6 · outbound
This paper cites Solving instance de- tection from an open-world perspective.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Solving instance de- tection from an open-world perspective
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.237666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation caa0011e-68a1-4d6c-8374-6d31b1e8bbb1 · outbound
This paper cites DINOv3.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes DINOv3
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.734697Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation d8410b67-001f-4e49-a5bf-6a9ff3310744 · outbound
This paper cites LoFTR: Detector-free local feature matching with transformers.CVPR.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes LoFTR: Detector-free local feature matching with transformers.CVPR
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.255497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 71425479-e054-4924-94f7-2d848e1f5ff5 · outbound
This paper cites What makes for good views for contrastive learning?Advances in neural information processing systems, 33:6827–6839.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes What makes for good views for contrastive learning?Advances in neural information processing systems, 33:6827–6839
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.238417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 9457149b-0944-4fd8-9ac5-e7ec90cd8182 · outbound
This paper cites PoseNet: A convolutional network for real-time 6-dof camera relocalization.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes PoseNet: A convolutional network for real-time 6-dof camera relocalization
Reference 46
- Resolution
- malformed identifier
- doi_truncated, observed 2026-05-15T16:20:09.220502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation b268734a-9402-40d9-bc5b-f7d736a97a66 · outbound
This paper cites Dense- fusion: 6d object pose estimation by iterative dense fusion.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Dense- fusion: 6d object pose estimation by iterative dense fusion
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.257149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation bfae273d-d3d5-48f3-8e51-f21c8e6a69e2 · outbound
This paper cites Efficient LoFTR: Semi-dense local feature matching with sparse-like speed.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Efficient LoFTR: Semi-dense local feature matching with sparse-like speed
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.223666Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation e0498d69-2073-4f04-9bb5-1ccb357c58a0 · outbound
This paper cites TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:20:09.728789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 10a0e09d-6083-4873-adcb-a218b1c5ed03 · outbound
This paper cites Ni, and Heung-Yeung Shum.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Ni, and Heung-Yeung Shum
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.214868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation 56d7dcf3-8c8d-41d4-a783-02bab21c0625 · outbound
This paper cites Objects as Points.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes Objects as Points
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T16:20:09.772925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Observation a450ab03-f59d-408d-8a82-85e409d2486b · outbound
This paper cites 8: Examples of template-based synthetic training images.
From Local Matches to Global Masks: Template-Guided Instance Detection and Segmentation in Open-World Scenes 8: Examples of template-based synthetic training images
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-15T16:20:10.211119Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.
Pith citing papers
No inbound Pith citation observations are available.