Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:50:27.104371Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:50:27.104371Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:48:26.829532Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T21:23:55.361423Z
44 of 44 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d2ea5e28-9f9e-4898-821a-1ef28f17973d · outbound
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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Observation 5ce77515-18ab-40f8-b0e3-5359d752db82 · outbound
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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Observation e13cb3a4-bd8c-4666-899c-c25c6cdb5f5e · outbound
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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Observation 827e3881-123a-4f7a-8639-7b953e62bb10 · outbound
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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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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Observation 8a4a331b-2cb4-42bd-8538-91f0d2b7ece8 · outbound
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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Observation 7a2e106d-cdd8-4898-af97-9c0a7ba66c5f · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Rethinking Atrous Convolution for Semantic Image Segmentation
Reference 7
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Observation bf438ed1-fa74-446f-9164-ca9ab1b8171f · outbound
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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Observation 0b58e24c-a77f-40f9-ae09-b2f8fad1bbfd · outbound
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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Observation 3352c0cd-5fc4-4b54-a753-3784983f8f8a · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Spgnet: Semantic prediction guidance for scene parsing
Reference 10
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Observation 1f94dd1a-be1a-4b14-90b6-6bb2626e720f · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Panoptic-DeepLab
Reference 11
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Observation 1e3212ef-d3ad-4e91-9590-e7c174f80c5d · outbound
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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Observation 13d39a7b-ad3e-4603-9535-88e1f8891177 · outbound
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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Observation 000dcff7-619e-481f-b315-4a5e202fd944 · outbound
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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Observation 038f7b0e-b5dd-4a2b-a799-9111292e351a · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Rmpe: Regional multi-person pose estimation
Reference 15
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Observation 0f4dc308-b9c2-463c-ac9e-1ccf4b3d0849 · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Mask r-cnn
Reference 16
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Observation f1d08d09-bd80-414d-b5dd-29474e6931a8 · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Deep residual learning for image recognition
Reference 17
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Observation 4a3273e6-eb27-405e-8ec0-18ed2cf41cc8 · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation A coarse- fine network for keypoint localization
Reference 18
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Observation 9a00cbed-eca7-41aa-9e94-aead01a4d487 · outbound
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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Observation 06793d4e-161b-4531-8b89-047356c0019f · outbound
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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Observation be6fa055-e23f-44b2-9236-e92c8379ef20 · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Adam: A Method for Stochastic Optimization
Reference 21
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Observation 601c56cd-2adc-48a8-b78b-f727a73aa60b · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Pifpaf: Composite fields for human pose estimation
Reference 22
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Observation 48810186-1e30-4b9c-9512-1783b0f57319 · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Cornernet: Detecting objects as paired keypoints
Reference 23
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Observation c3dedd72-af99-464a-9bf0-dda876591769 · outbound
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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Observation 653d494b-959d-454e-9302-f162b8db15c9 · outbound
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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Observation 0ee7788d-1bfd-4e1d-86dc-6283f61c526f · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Feature pyramid networks for object detection
Reference 26
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Observation 4e604144-fccb-471d-af36-8fa0d3cf0cfd · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Microsoft coco: Common objects in context
Reference 27
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Observation a76ed863-aad4-4722-831b-d018e983305c · outbound
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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Observation 6e75fc25-3921-4f0e-9f90-27480790668f · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Ssd: Single shot multibox detector
Reference 29
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Observation 7266ad6d-6c74-4990-a8aa-7e6f5b6ff2ec · outbound
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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Observation 5951bd73-1674-4515-ba39-2fe00d3df844 · outbound
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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Observation 0cede608-f547-4606-bc3a-820d599f674f · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Single-stage multi-person pose machines
Reference 32
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Observation 54bddcc0-7a02-4aa0-a11c-82f43440a238 · outbound
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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Observation 3bb9f753-2688-4840-8c60-b4cb8ea61d7c · outbound
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
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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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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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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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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Observation 81bf4cf5-36dd-4d6b-92bf-6efd472d27b7 · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Integral human pose regression
Reference 39
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Observation 178b32a8-2727-435d-bf5e-8801256979a8 · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Deep High-Resolution Representation Learning for Visual Recognition
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Observation c69e81d5-9e7b-472b-af40-5fe4eb59dfa6 · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation The devil is in the decoder
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Observation 641fdb34-c357-4d94-99d3-1bd40e0c9c8e · outbound
HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Simple baselines for human pose estimation and tracking
Reference 42
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HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation DeeperLab: Single-Shot Image Parser
Reference 43
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HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation Multi-Scale Context Aggregation by Dilated Convolutions
Reference 44
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Observation a934634d-cbd1-4411-9fa1-f6f032983f03 · inbound
On the Robustness of Human Pose Estimation HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation
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Observation 41990765-8e14-4d9d-9355-8bea6f367723 · inbound
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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