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Paper Citation Record · LEDGER

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

As of 15 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:1908.10357.

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

pith.paper-citation-record.v1
1908.10357 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:50:27.104371Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:48:26.829532Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T21:23:55.361423Z

Reference resolution

44 of 44 outbound references displayed

  • verified exact2
  • verified fuzzy34
  • unresolved8
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2ea5e28-9f9e-4898-821a-1ef28f17973d · outbound

This paper cites Segnet: A deep convolutional encoder-decoder architecture for image segmentation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Segnet: A deep convolutional encoder-decoder architecture for image segmentation

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 5ce77515-18ab-40f8-b0e3-5359d752db82 · outbound

This paper cites A unified multi-scale deep convolutional neural network for fast object detection.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation A unified multi-scale deep convolutional neural network for fast object detection

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e13cb3a4-bd8c-4666-899c-c25c6cdb5f5e · outbound

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

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Realtime multi-person 2d pose estimation using part affinity fields

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 827e3881-123a-4f7a-8639-7b953e62bb10 · outbound

This paper cites Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, and Jonathon Shlens.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Collins, Yukun Zhu, George Papandreou, Barret Zoph, Florian Schroff, Hartwig Adam, and Jonathon Shlens

Reference 4

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raw_fallback, observed 2026-08-14T10:50:27.537826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1074c561-3fb0-4674-a198-f20ea5ad81fd · outbound

This paper cites Semantic image segmen- tation with deep convolutional nets and fully connected crfs.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Semantic image segmen- tation with deep convolutional nets and fully connected crfs

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8a4a331b-2cb4-42bd-8538-91f0d2b7ece8 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7a2e106d-cdd8-4898-af97-9c0a7ba66c5f · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bf438ed1-fa74-446f-9164-ca9ab1b8171f · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 8

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unresolved
no resolver link, observed 2026-08-14T10:50:26.984243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0b58e24c-a77f-40f9-ae09-b2f8fad1bbfd · outbound

This paper cites Cascaded pyramid network for multi-person pose estimation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Cascaded pyramid network for multi-person pose estimation

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3352c0cd-5fc4-4b54-a753-3784983f8f8a · outbound

This paper cites Spgnet: Semantic prediction guidance for scene parsing.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Spgnet: Semantic prediction guidance for scene parsing

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1f94dd1a-be1a-4b14-90b6-6bb2626e720f · outbound

This paper cites Panoptic-DeepLab.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Panoptic-DeepLab

Reference 11

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local_arxiv, observed 2026-08-14T10:50:27.182155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 1e3212ef-d3ad-4e91-9590-e7c174f80c5d · outbound

This paper cites Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Panoptic-deeplab: A simple, strong, and fast baseline for bottom-up panoptic segmentation

Reference 12

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raw_fallback, observed 2026-08-14T10:50:27.482009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 13d39a7b-ad3e-4603-9535-88e1f8891177 · outbound

This paper cites Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Decoupled Classification Refinement: Hard False Positive Suppression for Object Detection

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.000164Z digest=sha256:e87470799bc2f4a289e1a8c87a49e7cd0dd6e0eedfc026dbebe8f36899d0d616

Observation 000dcff7-619e-481f-b315-4a5e202fd944 · outbound

This paper cites Revisiting rcnn: On awakening the classification power of faster rcnn.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Revisiting rcnn: On awakening the classification power of faster rcnn

Reference 14

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raw_fallback, observed 2026-08-14T10:50:27.471354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.004270Z digest=sha256:a2ccd5e8ed9befc8a55e44d3a556e3c489d2c573aff6e1a8306ea02cfbc5d833

Observation 038f7b0e-b5dd-4a2b-a799-9111292e351a · outbound

This paper cites Rmpe: Regional multi-person pose estimation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Rmpe: Regional multi-person pose estimation

Reference 15

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raw_fallback, observed 2026-08-14T10:50:27.458756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 0f4dc308-b9c2-463c-ac9e-1ccf4b3d0849 · outbound

This paper cites Mask r-cnn.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Mask r-cnn

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f1d08d09-bd80-414d-b5dd-29474e6931a8 · outbound

This paper cites Deep residual learning for image recognition.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Deep residual learning for image recognition

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4a3273e6-eb27-405e-8ec0-18ed2cf41cc8 · outbound

This paper cites A coarse- fine network for keypoint localization.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation A coarse- fine network for keypoint localization

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 9a00cbed-eca7-41aa-9e94-aead01a4d487 · outbound

This paper cites Deepercut: A deeper, stronger, and faster multi-person pose estimation model.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Deepercut: A deeper, stronger, and faster multi-person pose estimation model

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 06793d4e-161b-4531-8b89-047356c0019f · outbound

This paper cites Multi-person pose estimation with local joint-to-person associations.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Multi-person pose estimation with local joint-to-person associations

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation be6fa055-e23f-44b2-9236-e92c8379ef20 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Adam: A Method for Stochastic Optimization

Reference 21

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Unavailable: canonical work link unavailable.

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Observation 601c56cd-2adc-48a8-b78b-f727a73aa60b · outbound

This paper cites Pifpaf: Composite fields for human pose estimation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Pifpaf: Composite fields for human pose estimation

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.032631Z digest=sha256:464351e7095f7cc2ae05bdaee5eec783954a01bae5acfe23ba1b9c077af1533b

Observation 48810186-1e30-4b9c-9512-1783b0f57319 · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Cornernet: Detecting objects as paired keypoints

Reference 23

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raw_fallback, observed 2026-08-14T10:50:27.390483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.035894Z digest=sha256:450d5b1cec5d85d1430184886b9dce6bd7e93905150f40dff07349023e9aab94

Observation c3dedd72-af99-464a-9bf0-dda876591769 · outbound

This paper cites Crowdpose: Efficient crowded scenes pose estimation and a new benchmark.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Crowdpose: Efficient crowded scenes pose estimation and a new benchmark

Reference 24

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raw_fallback, observed 2026-08-14T10:50:27.380595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.039182Z digest=sha256:7ff589b9207fc1c772aa6cb5665e27aeae64df78e67b70934a893e9408679684

Observation 653d494b-959d-454e-9302-f162b8db15c9 · outbound

This paper cites Refinenet: Multi-path refinement networks for high- resolution semantic segmentation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Refinenet: Multi-path refinement networks for high- resolution semantic segmentation

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.042959Z digest=sha256:10ec33ae392d42218c750e7a61caf597da223c3d7d1e00ebdf04fd2c90a3337a

Observation 0ee7788d-1bfd-4e1d-86dc-6283f61c526f · outbound

This paper cites Feature pyramid networks for object detection.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Feature pyramid networks for object detection

Reference 26

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raw_fallback, observed 2026-08-14T10:50:27.357368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.045848Z digest=sha256:760f767cbd3883edff1e7064c68e4a7d422191992ddec17d9d70589f53c876ec

Observation 4e604144-fccb-471d-af36-8fa0d3cf0cfd · outbound

This paper cites Microsoft coco: Common objects in context.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Microsoft coco: Common objects in context

Reference 27

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raw_fallback, observed 2026-08-14T10:50:27.345186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.048907Z digest=sha256:947656938915d90473cbad35c184be8a36c3e04555ce9a263d4b92c8713ad925

Observation a76ed863-aad4-4722-831b-d018e983305c · outbound

This paper cites Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Auto-deeplab: Hierarchical neural architecture search for semantic image segmentation

Reference 28

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raw_fallback, observed 2026-08-14T10:50:27.334178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.052434Z digest=sha256:515a81d1feaf69bc25fd4b681eb9d1bc61086e95b58d6c959c5c46771d8ac6f1

Observation 6e75fc25-3921-4f0e-9f90-27480790668f · outbound

This paper cites Ssd: Single shot multibox detector.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Ssd: Single shot multibox detector

Reference 29

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raw_fallback, observed 2026-08-14T10:50:27.322816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.055701Z digest=sha256:0ac695072792bdd1c7cbcbd6e23a219b0ec84adc4735796b9a2bffb8d6d2813b

Observation 7266ad6d-6c74-4990-a8aa-7e6f5b6ff2ec · outbound

This paper cites Associa- tive embedding: End-to-end learning for joint detection and grouping.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Associa- tive embedding: End-to-end learning for joint detection and grouping

Reference 30

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raw_fallback, observed 2026-08-14T10:50:27.312561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.058784Z digest=sha256:5d60abba505ceed53a2fc3e366b167b08f5ff7c7fc46c5cab9372adaa921b17c

Observation 5951bd73-1674-4515-ba39-2fe00d3df844 · outbound

This paper cites Stacked hour- glass networks for human pose estimation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Stacked hour- glass networks for human pose estimation

Reference 31

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raw_fallback, observed 2026-08-14T10:50:27.301399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.061435Z digest=sha256:25318ce36936031a75019c99aad8db9cac8ddd40c42673d5b225dd3d93bc9150

Observation 0cede608-f547-4606-bc3a-820d599f674f · outbound

This paper cites Single-stage multi-person pose machines.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Single-stage multi-person pose machines

Reference 32

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raw_fallback, observed 2026-08-14T10:50:27.291424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:50:27.064335Z digest=sha256:f69997dbbc7a3c013391a2acc03c39b994deac9441297bfe6c01470a0cbf7c5b

Observation 54bddcc0-7a02-4aa0-a11c-82f43440a238 · outbound

This paper cites Person- lab: Person pose estimation and instance segmentation with a part-based geometric embedding model.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Person- lab: Person pose estimation and instance segmentation with a part-based geometric embedding model

Reference 33

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raw_fallback, observed 2026-08-14T10:50:27.281057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 3bb9f753-2688-4840-8c60-b4cb8ea61d7c · outbound

This paper cites Towards accurate multi-person pose estimation in the wild.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Towards accurate multi-person pose estimation in the wild

Reference 34

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Observation 3f5b6a9c-78de-40ab-8e07-7b8dea7496b8 · outbound

This paper cites Deepcut: Joint subset partition and labeling for multi person pose estimation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Deepcut: Joint subset partition and labeling for multi person pose estimation

Reference 35

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This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 36

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Observation 805178bf-51dd-47d5-a420-bef69f08d232 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation U-net: Convolutional networks for biomedical image segmentation

Reference 37

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Observation c5f36a67-2735-461b-ab3a-8710bb59e6aa · outbound

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

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Deep high-resolution representation learning for human pose esti- mation

Reference 38

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Source-reported events for the cited work

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Observation 81bf4cf5-36dd-4d6b-92bf-6efd472d27b7 · outbound

This paper cites Integral human pose regression.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Integral human pose regression

Reference 39

Resolution
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This paper cites Deep High-Resolution Representation Learning for Visual Recognition.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Deep High-Resolution Representation Learning for Visual Recognition

Reference 40

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Observation c69e81d5-9e7b-472b-af40-5fe4eb59dfa6 · outbound

This paper cites The devil is in the decoder.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation The devil is in the decoder

Reference 41

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Source-reported events for the cited work

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Observation 641fdb34-c357-4d94-99d3-1bd40e0c9c8e · outbound

This paper cites Simple baselines for human pose estimation and tracking.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Simple baselines for human pose estimation and tracking

Reference 42

Resolution
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Source-reported events for the cited work

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Observation 58fa8627-c9fa-49c9-85c3-538961c632df · outbound

This paper cites DeeperLab: Single-Shot Image Parser.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation DeeperLab: Single-Shot Image Parser

Reference 43

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Source-reported events for the cited work

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Observation 0340d38f-6b70-46f0-8c88-baaa6cf4e589 · outbound

This paper cites Multi-Scale Context Aggregation by Dilated Convolutions.

HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Multi-Scale Context Aggregation by Dilated Convolutions

Reference 44

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Unavailable: canonical work link unavailable.

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Pith citing papers

Observation a934634d-cbd1-4411-9fa1-f6f032983f03 · inbound

On the Robustness of Human Pose Estimation cites this paper.

On the Robustness of Human Pose Estimation HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41990765-8e14-4d9d-9355-8bea6f367723 · inbound

Improving Skeleton-based Action Recognition with Interactive Object Information cites this paper.

Improving Skeleton-based Action Recognition with Interactive Object Information HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation

Reference 43

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Source-reported events for the cited work

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