2017-action-recognition-papers 近期要?的2017年??的?篇行????文 1.Compressed Video Action Recognition Wu C Y, Zaheer M, Hu H, et al. Compressed Video Action Recognition[J]. arXiv preprint arXiv:1712.00636, 2017. ????，去除冗余信息 2.What Actions are Needed for Understanding Human Actions in Videos? Sigurdsson G A, Russakovsky O, Gupta A. What Actions are Needed for Understanding Human Actions in Videos?[J]. arXiv preprint arXiv:1708.02696, 2017.（ICCV2017） 在charades?据集上，??了????方法的效果 3.Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding Sigurdsson G A, Varol G, Wang X, et al. Hollywood in homes: Crowdsourcing data collection for activity understanding[C]//European Conference on Computer Vision. Springer International Publishing, 2016: 510-526.（ECCV2016） 提出了charades?据集 4.Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset Carreira J, Zisserman A. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset[J]. arXiv preprint arXiv:1705.07750, 2017.（CVPR2017） 提出了I3D模型，2017年在ucf101,hmdb51???据集?到了state of the art 的?果：80.7% on HMDB-51 and 98.0% on UCF-101 5.Attentional Pooling for Action Recognition Girdhar R, Ramanan D. Attentional pooling for action recognition[C] //Advances in Neural Information Processing Systems. 2017: 33-44.（NIPS2017） ?合注意力系?的行???模型 6.Learning Spatio-Temporal Features with 3D Residual Networks for Action Recognition Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? Hara K, Kataoka H, Satoh Y. Learning spatio-temporal features with 3D residual networks for action recognition[C] //Proceedings of the ICCV Workshop on Action, Gesture, and Emotion Recognition. 2017, 2(3): 4.（ICCV2017） Hara K, Kataoka H, Satoh Y. Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?[J]. arXiv preprint arXiv:1711.09577, 2017. 3d-resnet 模型 7.ActionVLAD: Learning spatio-temporal aggregation for action classification Girdhar R, Ramanan D, Gupta A, et al. ActionVLAD: Learning spatio-temporal aggregation for action classification[J]. arXiv preprint arXiv:1704.02895, 2017.（CVPR2017） ?VLAD?action相?合 8.Asynchronous Temporal Fields for Action Recognition Sigurdsson G A, Divvala S, Farhadi A, et al. Asynchronous Temporal Fields for Action Recognition[J]. arXiv preprint arXiv:1612.06371, 2016. 在charades?据集上的行???CRF模型
