Overview¶
Number of papers: 32
DATASET: 32
For supported pose algorithms, see modelzoo overview.
2D Animal Keypoint Dataset¶
Number of papers: 6
[DATASET] Atrw: A Benchmark for Amur Tiger Re-Identification in the Wild (ATRW ⇨)
[DATASET] Cross-Domain Adaptation for Animal Pose Estimation (Animal-Pose ⇨)
[DATASET] Deepposekit, a Software Toolkit for Fast and Robust Animal Pose Estimation Using Deep Learning (Grévy’s Zebra ⇨, Desert Locust ⇨)
[DATASET] Fast Animal Pose Estimation Using Deep Neural Networks (Vinegar Fly ⇨)
[DATASET] Macaquepose: A Novel ‘In the Wild’macaque Monkey Pose Dataset for Markerless Motion Capture (MacaquePose ⇨)
[DATASET] Pretraining Boosts Out-of-Domain Robustness for Pose Estimation (Horse-10 ⇨)
2D Body Keypoint Datasets¶
Number of papers: 9
[DATASET] 2d Human Pose Estimation: New Benchmark and State of the Art Analysis (MPII ⇨)
[DATASET] Ai Challenger: A Large-Scale Dataset for Going Deeper in Image Understanding (AIC ⇨)
[DATASET] Crowdpose: Efficient Crowded Scenes Pose Estimation and a New Benchmark (CrowdPose ⇨)
[DATASET] Microsoft Coco: Common Objects in Context (COCO ⇨)
[DATASET] Pose2seg: Detection Free Human Instance Segmentation (OCHuman ⇨)
[DATASET] Posetrack: A Benchmark for Human Pose Estimation and Tracking (PoseTrack18 ⇨)
[DATASET] Towards Understanding Action Recognition (sub-JHMDB dataset ⇨)
[DATASET] Trb: A Novel Triplet Representation for Understanding 2d Human Body (MPII-TRB ⇨)
[DATASET] Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and a New Benchmark for Multi-Human Parsing (MHP ⇨)
2D Face Keypoint Datasets¶
Number of papers: 4
[DATASET] 300 Faces in-the-Wild Challenge: Database and Results (300W Dataset ⇨)
[DATASET] Annotated Facial Landmarks in the Wild: A Large-Scale, Real-World Database for Facial Landmark Localization (AFLW Dataset ⇨)
[DATASET] Look at Boundary: A Boundary-Aware Face Alignment Algorithm (WFLW Dataset ⇨)
[DATASET] Robust Face Landmark Estimation Under Occlusion (COFW Dataset ⇨)
2D Fashion Landmark Dataset¶
Number of papers: 2
[DATASET] Deepfashion: Powering Robust Clothes Recognition and Retrieval With Rich Annotations (DeepFashion (Fashion Landmark Detection, FLD) ⇨)
[DATASET] Fashion Landmark Detection in the Wild (DeepFashion (Fashion Landmark Detection, FLD) ⇨)
2D Hand Keypoint Datasets¶
Number of papers: 5
[DATASET] Freihand: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images (FreiHAND Dataset ⇨)
[DATASET] Hand Keypoint Detection in Single Images Using Multiview Bootstrapping (CMU Panoptic HandDB ⇨)
[DATASET] Learning to Estimate 3d Hand Pose From Single RGB Images (RHD Dataset ⇨)
[DATASET] Mask-Pose Cascaded CNN for 2d Hand Pose Estimation From Single Color Image (OneHand10K ⇨)
[DATASET] interhand2.6m: A Dataset and Baseline for 3d Interacting Hand Pose Estimation From a Single RGB Image (InterHand2.6M ⇨)
2D Wholebody Keypoint Datasets¶
Number of papers: 1
[DATASET] Whole-Body Human Pose Estimation in the Wild (COCO-WholeBody ⇨)
3D Body Keypoint Datasets¶
Number of papers: 1
[DATASET] human3.6m: Large Scale Datasets and Predictive Methods for 3d Human Sensing in Natural Environments (Human3.6M ⇨)
3D Body Mesh Recovery Datasets¶
Number of papers: 6
[DATASET] Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation. (LSP ⇨)
[DATASET] End-to-End Recovery of Human Shape and Pose (CMU MoShed Data ⇨)
[DATASET] Learning Effective Human Pose Estimation From Inaccurate Annotation (LSPET ⇨)
[DATASET] Microsoft Coco: Common Objects in Context (COCO ⇨)
[DATASET] Monocular 3d Human Pose Estimation in the Wild Using Improved CNN Supervision (MPI-INF-3DHP ⇨)
[DATASET] human3.6m: Large Scale Datasets and Predictive Methods for 3d Human Sensing in Natural Environments (Human3.6M ⇨)