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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 / No. 11: AAAI-21 Technical Tracks 11

Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion

February 1, 2023

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Authors

Jinpeng Wang

Sun Yat-sen University,Tencent Youtu Lab


Yuting Gao

Tencent Youtu Lab


Ke Li

Tencent Youtu Lab


Jianguo Hu

Sun Yat-sen University


Xinyang Jiang

Tencent Youtu Lab


Xiaowei Guo

Tencent Youtu Lab


Rongrong Ji

Xiamen University, China


Xing Sun

Tencent Youtu Lab


DOI:

10.1609/aaai.v35i11.17215


Abstract:

One significant factor we expect the video representation learning to capture, especially in contrast with the image representation learning, is the object motion. However, we found that in the current mainstream video datasets, some action categories are highly related with the scene where the action happens, making the model tend to degrade to a solution where only the scene information is encoded. For example, a trained model may predict a video as playing football simply because it sees the field, neglecting that the subject is dancing as a cheerleader on the field. This is against our original intention towards the video representation learning and may bring scene bias on a different dataset that can not be ignored. In order to tackle this problem, we propose to decouple the scene and the motion (DSM) with two simple operations, so that the model attention towards the motion information is better paid. Specifically, we construct a positive clip and a negative clip for each video. Compared to the original video, the positive/negative is motion-untouched/broken but scene-broken/untouched by Spatial Local Disturbance and Temporal Local Disturbance. Our objective is to pull the positive closer while pushing the negative farther to the original clip in the latent space. In this way, the impact of the scene is weakened while the temporal sensitivity of the network is further enhanced. We conduct experiments on two tasks with various backbones and different pre-training datasets, and find that our method surpass the SOTA methods with a remarkable 8.1% and 8.8% improvement towards action recognition task on the UCF101 and HMDB51 datasets respectively using the same backbone.

Topics: AAAI

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HOW TO CITE:

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion Proceedings of the AAAI Conference on Artificial Intelligence (2021) 10129-10137.

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion AAAI 2021, 10129-10137.

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun (2021). Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. Proceedings of the AAAI Conference on Artificial Intelligence, 10129-10137.

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun. Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. Proceedings of the AAAI Conference on Artificial Intelligence 2021 p.10129-10137.

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun. 2021. Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. "Proceedings of the AAAI Conference on Artificial Intelligence". 10129-10137.

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun. (2021) "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion", Proceedings of the AAAI Conference on Artificial Intelligence, p.10129-10137

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun, "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion", AAAI, p.10129-10137, 2021.

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun. "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion". Proceedings of the AAAI Conference on Artificial Intelligence, 2021, p.10129-10137.

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun. "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion". Proceedings of the AAAI Conference on Artificial Intelligence, (2021): 10129-10137.

Jinpeng Wang||Yuting Gao||Ke Li||Jianguo Hu||Xinyang Jiang||Xiaowei Guo||Rongrong Ji||Xing Sun. Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion. AAAI[Internet]. 2021[cited 2023]; 10129-10137.


ISSN: 2374-3468


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