Fall’24
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Reference
[1] Zhou, Xingyi, et al. “Detecting twenty-thousand classes using image-level supervision.” European Conference on Computer Vision. Cham: Springer Nature Switzerland, 2022.
[2] Kirillov, Alexander, et al. “Segment anything.” Proceedings of the IEEE/CVF International Conference on Computer Vision. 2023.
[3] Shou, Zheng, Dongang Wang, and Shih-Fu Chang. “Temporal action localization in untrimmed videos via multi-stage cnns.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
[4] Chao, Yu-Wei, et al. “Rethinking the faster r-cnn architecture for temporal action localization.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2018.
[5] Kluger, Florian, et al. “Deep learning for vanishing point detection using an inverse gnomonic projection.” Pattern Recognition: 39th German Conference, GCPR 2017, Basel, Switzerland, September 12–15, 2017, Proceedings 39. Springer International Publishing, 2017.
[6] Lin, Yancong, et al. “Deep vanishing point detection: Geometric priors make dataset variations vanish.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022.