[35] Ugur Demir, Yogesh S Rawat, and Mubarak Shah. Tinyvirat: Low-resolution video action recognition. In ICPR, pages 7387-7394, 2021. 2
[36] Gunnar A Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, and Karteek Alahari. Charades-ego: A large-scale dataset of paired third and first person videos. arXiv preprint arXiv:1804.09626, 2018. 2, 4, 25
[37] Xavier Puig, Kevin Ra, Marko Boben, Jiaman Li, Tingwu Wang, Sanja Fidler, and Antonio Torralba. Virtualhome: Simulating household activities via programs. In CVPR, pages 8494-8502, 2018. 2
[38] Gül Varol, Ivan Laptev, Cordelia Schmid, and Andrew Zisserman. Synthetic humans for action recognition from unseen viewpoints. *IJCV*, 129(7):2264–2287, 2021. 2
[39] Angelina Wang, Alexander Liu, Ryan Zhang, Anat Kleiman, Leslie Kim, Dora Zhao, Iroha Shirai, Arvind Narayanan, and Olga Russakovsky. Revise: A tool for measuring and mitigating bias in visual datasets. *IJCV*, 130(7):1790–1810, 2022. 2, 4
[40] Antonio Torralba and Alexei A Efros. Unbiased look at dataset bias. In CVPR, pages 1521-1528, 2011. 2, 4
[41] Biagio Brattoli, Joseph Tighe, Fedor Zhdanov, Pietro Perona, and Krzysztof Chalupka. Rethinking zero-shot video classification: End-to-end training for realistic applications. In CVPR, pages 4613-4623, 2020. 2, 5
[42] Alec Kerrigan, Kevin Duarte, Yogesh Rawat, and Mubarak Shah. Reformulating zero-shot action recognition for multi-label actions. NeurIPS, 34:25566-25577, 2021. 2, 5, 21, 27
[43] Farhad Pourpanah, Moloud Abdar, Yuxuan Luo, Xinlei Zhou, Ran Wang, Chee Peng Lim, Xi-Zhao Wang, and QM Jonathan Wu. A review of generalized zero-shot learning methods. PAMI, 2022. 2
[44] Abhijit Bendale and Terrance E Boult. Towards open set deep networks. In CVPR, pages 1563-1572, 2016. 2, 4, 9
[45] Wentao Bao, Qi Yu, and Yu Kong. Evidential deep learning for open set action recognition. In ICCV, pages 13349–13358, 2021. 2, 4, 5, 8, 9, 27
[46] Walter J Scheirer, Anderson de Rezende Rocha, Archana Sapkota, and Terrance E Boult. Toward open set recognition. PAMI, 35(7):1757-1772, 2012. 2, 4
[47] Chuanxing Geng, Sheng-jun Huang, and Songcan Chen. Recent advances in open set recognition: A survey. PAMI, 43(10):3614-3631, 2020. 2
[48] Florian Wenzel, Andrea Dittadi, Peter Vincent Gehler, Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, Chris Russell, Thomas Brox, Bernt Schiele, Bernhard Scholkopf, and Francesco Locatello. Assaying out-of-distribution generalization in transfer learning, 2022. 2, 3
[49] Rohan Taori, Achal Dave, Vaishaal Shankar, Nicholas Carlini, Benjamin Recht, and Ludwig Schmidt. Measuring robustness to natural distribution shifts in image classification. NeurIPS, 33:18583-18599, 2020. 2, 3, 38
[50] Olivia Wiles, Sven Gowal, Florian Stimberg, Sylvestre-Alvise Rebuffi, Ira Ktena, Krishnamurthy Dj Dvjiotham, and Ali Taylan Cemgil. A fine-grained analysis on distribution shift. In ICLR, 2022. 2
[51] Haotian Ye, Chuanlong Xie, Tianle Cai, Ruichen Li, Zhenguo Li, and Liwei Wang. Towards a theoretical framework of out-of-distribution generalization. In M. Ranzato, A. Beygelzimer, Y. Dauphin, P.S. Liang, and J. Wortman Vaughan, editors, NeurIPS, volume 34, pages 23519-23531, 2021. 2
[52] Dan Hendrycks and Thomas Dietterich. Benchmarking neural network robustness to common corruptions and perturbations, 2019. 2