PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection

Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao 0002. PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection. In Alice Oh, Tristan Naumann, Amir Globerson, Kate Saenko, Moritz Hardt, Sergey Levine, editors, Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023. 2023. [doi]

@inproceedings{ZhouLJWZZ023,
  title = {PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection},
  author = {Qiang Zhou and Weize Li and Lihan Jiang and Guoliang Wang and Guyue Zhou and Shanghang Zhang and Hao Zhao 0002},
  year = {2023},
  url = {http://papers.nips.cc/paper_files/paper/2023/hash/8bc5aef775aacc1650a9790f1428bcea-Abstract-Datasets_and_Benchmarks.html},
  researchr = {https://researchr.org/publication/ZhouLJWZZ023},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
  editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
}