AdaptiveGait: adaptive feature fusion network for gait recognition
Author:
Funder
Key R &D Project of Shandong Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11042-024-18692-0.pdf
Reference32 articles.
1. Chai T, Li A, Zhang S et al (2022) Lagrange motion analysis and view embeddings for improved gait recognition. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 20249–20258
2. Chao H, He Y, Zhang J et al (2019) Gaitset: Regarding gait as a set for cross-view gait recognition. In: Proceedings of the AAAI conference on artificial intelligence, pp 8126–8133
3. Fan C, Peng Y, Cao C et al (2020) Gaitpart: temporal part-based model for gait recognition. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 14225–14233
4. Ghiasi G, Lin TY, Le QV (2019) Nas-fpn: learning scalable feature pyramid architecture for object detection. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 7036–7045
5. Hou S, Cao C, Liu X et al (2020) Gait lateral network: Learning discriminative and compact representations for gait recognition. In: Part IX (ed) Paper presented at the computer vision-ECCV 2020: 16th European conference, Glasgow, UK, August 23–28, 2020, Proceedings. Springer, pp 382–398
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