• OpenPifPaf

  • Referenced in 1 article [sw39250]
  • OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association. Many image-based perception...
  • Python

  • Referenced in 2091 articles [sw14460]
  • Python is a widely used high-level, general...
  • PyTorch

  • Referenced in 426 articles [sw20939]
  • PyTorch python package: Tensors and Dynamic neural networks...
  • ImageNet

  • Referenced in 667 articles [sw21105]
  • ImageNet is an image dataset organized according to...
  • SMPL

  • Referenced in 6 articles [sw25910]
  • SMPL: A Skinned Multi-Person Linear Model. SMPL...
  • DeeperCut

  • Referenced in 3 articles [sw27574]
  • DeeperCut: A Deeper, Stronger, and Faster Multi-Person...
  • MS-COCO

  • Referenced in 49 articles [sw32600]
  • Microsoft COCO: Common Objects in Context. We present...
  • PersonLab

  • Referenced in 3 articles [sw39072]
  • PersonLab: Person Pose Estimation and Instance Segmentation with...
  • MOT16

  • Referenced in 10 articles [sw39251]
  • MOT16: A Benchmark for Multi-Object Tracking. Standardized...
  • BlazeFace

  • Referenced in 1 article [sw39253]
  • BlazeFace: Sub-millisecond Neural Face Detection on Mobile...
  • ApolloCar3D

  • Referenced in 2 articles [sw39254]
  • ApolloCar3D: A Large 3D Car Instance Understanding Benchmark...
  • RMPE

  • Referenced in 2 articles [sw39255]
  • RMPE: Regional Multi-person Pose Estimation. Multi-person...
  • OpenPose

  • Referenced in 6 articles [sw39256]
  • OpenPose: Realtime Multi-Person 2D Pose Estimation using...
  • HigherHRNet

  • Referenced in 1 article [sw39260]
  • HigherHRNet: Scale-Aware Representation Learning for Bottom-Up...
  • DeepLabCut

  • Referenced in 3 articles [sw39263]
  • DeepLabCut: markerless pose estimation of user-defined body...
  • CarFusion

  • Referenced in 1 article [sw39264]
  • CarFusion: Combining Point Tracking and Part Detection for...
  • GSNet

  • Referenced in 1 article [sw39265]
  • GSNet: Joint Vehicle Pose and Shape Reconstruction with...