Paper Citation Record · LEDGER

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle

As of 20 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.01562.

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

pith.paper-citation-record.v1
2412.01562 v3

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:22:54.719013Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

43 of 43 outbound references displayed

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verified fuzzy22
unresolved20
parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 51c450c3-db37-41c3-b20d-1e0893e209d7 · outbound

This paper cites Multiposeseg: Feedback knowledge transfer for multi-person pose estimation and instance segmentation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Multiposeseg: Feedback knowledge transfer for multi-person pose estimation and instance segmentation

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.406715Z

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Observation 642765c1-3c16-4509-aa2e-9e8b66485695 · outbound

This paper cites Joint human pose estimation and instance seg- mentation with poseplusseg.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Joint human pose estimation and instance seg- mentation with poseplusseg

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.392693Z

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Observation 8dcefef0-eb36-49cd-9612-3bfcaaffb0e6 · outbound

This paper cites 2d human pose estimation: New benchmark and state of the art analysis.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle 2d human pose estimation: New benchmark and state of the art analysis

Reference 3

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Observation cdd9bb8b-3cf4-48e4-86d6-5f19611919b8 · outbound

This paper cites k-means++: The advantages of careful seeding.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle k-means++: The advantages of careful seeding

Reference 4

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Observation 678060f0-bb96-49b8-b001-d9a3abd4f1fe · outbound

This paper cites Test-time adaptation vs.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Test-time adaptation vs

Reference 5

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Observation 1e1e7d66-61e0-43e3-b6c1-94381f227cb7 · outbound

This paper cites Crowd-sam: Sam as a smart annotator for object de- tection in crowded scenes.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Crowd-sam: Sam as a smart annotator for object de- tection in crowded scenes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.352243Z

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Observation ead27edb-df5d-4113-8ec5-e9043825244c · outbound

This paper cites Realtime multi-person 2d pose estimation using part affinity fields.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Realtime multi-person 2d pose estimation using part affinity fields

Reference 7

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Observation 735a0801-0702-4b69-82e0-13a1f60a9d10 · outbound

This paper cites Unihcp: A unified model for human-centric perceptions.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Unihcp: A unified model for human-centric perceptions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.331281Z

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Observation ee1a2613-5869-4523-9657-6e01fc68c6e9 · outbound

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

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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Source-reported events for the cited work

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Observation 9e6a4b2e-f0b2-47cd-8ce7-08232e0b881b · outbound

This paper cites Bottom-up human pose estimation via disentan- gled keypoint regression.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Bottom-up human pose estimation via disentan- gled keypoint regression

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.318081Z

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 663ec840-9abb-4cfd-8347-6c4ee573b36a · outbound

This paper cites DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle DeepSportLab: a Unified Framework for Ball Detection, Player Instance Segmentation and Pose Estimation in Team Sports Scenes

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:54.603831Z

Source-reported events for the cited work

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Observation f238b7c8-143c-4fbb-b220-193a9f5e9c39 · outbound

This paper cites Instance-level human parsing via part grouping network.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Instance-level human parsing via part grouping network

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.284909Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 93c3431b-8d13-4f09-9fdf-43e9acafc895 · outbound

This paper cites On the Calibration of Human Pose Estimation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle On the Calibration of Human Pose Estimation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:54.610292Z

Source-reported events for the cited work

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Observation a9ded5f4-f9bc-43ca-8a55-8a66d548a0ba · outbound

This paper cites You only learn one query: learning unified human query for single-stage multi-person multi-task human-centric perception.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle You only learn one query: learning unified human query for single-stage multi-person multi-task human-centric perception

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.184864Z

Source-reported events for the cited work

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Observation 7916f77a-ac44-4e9f-b5c5-1399675dc624 · outbound

This paper cites Multi-instance pose networks: Rethinking top-down pose estimation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Multi-instance pose networks: Rethinking top-down pose estimation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.165828Z

Source-reported events for the cited work

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Observation ff24f4a1-21fb-4917-bab1-b741319b5592 · outbound

This paper cites Sapiens: Foundation for human vision models.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Sapiens: Foundation for human vision models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.151552Z

Source-reported events for the cited work

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Observation 41e94de6-ffde-4992-b645-14ee82c5b6e6 · outbound

This paper cites CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark

Reference 17

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Observation b5d0e069-ddb8-47ad-ad73-d21a6b1174d7 · outbound

This paper cites Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll ´ar, and C

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.136242Z

Source-reported events for the cited work

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Observation 07a2cede-5fc2-4989-a4c2-67adcb6b7b6b · outbound

This paper cites Humans need not label more humans: Occlusion copy & paste for occluded human instance segmentation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Humans need not label more humans: Occlusion copy & paste for occluded human instance segmentation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.120183Z

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Observation 9b9c774c-adaf-4d21-b85c-00e21473443c · outbound

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

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Swin transformer: Hierarchical vision transformer using shifted windows

Reference 20

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Observation b2fee984-a6bd-4c8e-b77b-f3be8eecca6f · outbound

This paper cites A convnet for the 2020s.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle A convnet for the 2020s

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.091733Z

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Observation 77d296c6-759c-4f79-9511-3da9f0651e2b · outbound

This paper cites RTMDet: An Empirical Study of Designing Real-Time Object Detectors.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Reference 22

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Source-reported events for the cited work

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Observation ea987f99-b5a5-49e4-a848-ac357e7c847b · outbound

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Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Unresolved cited work

Reference 23

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Observation ff08714b-4975-4acc-b622-4f0aa5f7dc8a · outbound

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Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation b7f931ca-9f14-43ad-a869-91b3fad46890 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle SAM 2: Segment Anything in Images and Videos

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:54.650755Z

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Observation 2c1b354e-5e14-4f6a-ad8c-f44f82a146b0 · outbound

This paper cites Iterdet: iterative scheme for object detection in crowded environments.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Iterdet: iterative scheme for object detection in crowded environments

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.043545Z

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Observation 307b2a47-8bea-42f4-943b-5a77ceeaf41f · outbound

This paper cites CrowdHuman: A Benchmark for Detecting Human in a Crowd.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle CrowdHuman: A Benchmark for Detecting Human in a Crowd

Reference 27

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Observation 509588d2-d43c-4d47-bb06-9060b5e05dd0 · outbound

This paper cites End-to-end multi-person pose estimation with transformers.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle End-to-end multi-person pose estimation with transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:54.661991Z

Source-reported events for the cited work

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Observation 82cfb149-b388-4ed2-92fd-17a6239e9797 · outbound

This paper cites End-to-End Trainable Multi-Instance Pose Estimation with Transformers.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle End-to-End Trainable Multi-Instance Pose Estimation with Transformers

Reference 29

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Observation f454157b-5b51-4c98-9cdc-f0551a9e49ca · outbound

This paper cites Deep high-resolution representation learning for human pose esti- mation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Deep high-resolution representation learning for human pose esti- mation

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.018254Z

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Observation 65efa4a1-0689-4b98-9bda-87a898f20c27 · outbound

This paper cites Rethinking visibility in human pose esti- mation: Occluded pose reasoning via transformers.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Rethinking visibility in human pose esti- mation: Occluded pose reasoning via transformers

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:55.001165Z

Source-reported events for the cited work

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Observation a3f90107-51bd-4d29-8283-5d20a08c411a · outbound

This paper cites Pose2Instance: Harnessing Keypoints for Person Instance Segmentation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Pose2Instance: Harnessing Keypoints for Person Instance Segmentation

Reference 32

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Source-reported events for the cited work

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Observation 9262be82-1569-40d2-9945-8a1fe700cc3f · outbound

This paper cites Contextual instance decoupling for robust multi-person pose estimation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Contextual instance decoupling for robust multi-person pose estimation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:54.986723Z

Source-reported events for the cited work

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Observation 2c84d4bd-115a-4d9d-ac8f-e03f9296fb85 · outbound

This paper cites Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Internimage: Exploring large-scale vi- sion foundation models with deformable convolutions

Reference 34

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Observation c61582e4-ba9a-46ab-8c1e-579ff4165b98 · outbound

This paper cites Hulk: A Universal Knowledge Translator for Human-Centric Tasks.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Hulk: A Universal Knowledge Translator for Human-Centric Tasks

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:54.687998Z

Source-reported events for the cited work

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Observation 988623e8-0b52-4334-a3b0-d3bb349bef2f · outbound

This paper cites AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:54.691838Z

Source-reported events for the cited work

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Observation 3243571b-173a-4cba-8345-e950a5df3b7f · outbound

This paper cites AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:54.696745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5c968b6-4853-4b8e-aec7-c81ae88d47b1 · outbound

This paper cites ViTPose: Simple vision transformer baselines for human pose estimation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle ViTPose: Simple vision transformer baselines for human pose estimation

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:54.960882Z

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 459fead0-24bb-4c4b-84b2-aa418d3dec71 · outbound

This paper cites Hrformer: High- resolution vision transformer for dense predict.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Hrformer: High- resolution vision transformer for dense predict

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T04:22:54.703869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fa03f77-8992-4b24-b19b-47cd1904b3a2 · outbound

This paper cites Pose2seg: Detection free human instance segmentation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Pose2seg: Detection free human instance segmentation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:54.936300Z

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 45a242e4-51fa-4d34-922c-13622484c3fc · outbound

This paper cites Poseg: Pose-aware refinement network for human instance segmentation.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Poseg: Pose-aware refinement network for human instance segmentation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:54.919337Z

Source-reported events for the cited work

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Observation 01ac3875-1680-4bc5-8426-a58c841c84a9 · outbound

This paper cites Mathis, and Alexan- der Mathis.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Mathis, and Alexan- der Mathis

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:54.901092Z

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 5d9e72de-4faa-45df-abbf-58effc59047d · outbound

This paper cites Detrs with col- laborative hybrid assignments training.

Detection, Pose Estimation and Segmentation for Multiple Bodies: Closing the Virtuous Circle Detrs with col- laborative hybrid assignments training

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T04:22:54.888365Z

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.