Group-wise co-salient object detection via multi-view self-labeling novel class discovery
Yang WU , Gang DONG , Lingyan LIANG , Yaqian ZHAO , Kaihua ZHANG
Front. Comput. Sci. ›› 2024, Vol. 18 ›› Issue (2) : 182709
Group-wise co-salient object detection via multi-view self-labeling novel class discovery
| [1] |
Wu Y, Song H, Liu B, Zhang K, Liu D. Co-salient object detection with uncertainty-aware group exchange-masking. In: Proceedings of 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023, 19639−19648 |
| [2] |
|
| [3] |
|
| [4] |
Wu Y, Liang L, Zhao Y, Zhang K. Object-aware calibrated depth-guided transformer for RGB-D co-salient object detection. In: Proceedings of 2023 IEEE International Conference on Multimedia and Expo. 2023, 1121−1126 |
| [5] |
Wu Y, Zhang H, Liang L, Zhao Y, Zhang K. Group-wise co-salient object detection with Siamese transformers via Brownian distance covariance matching. In: Proceedings of 2023 IEEE International Conference on Acoustics, Speech and Signal Processing. 2023, 1−5 |
| [6] |
Fan Q, Fan D P, Fu H, Tang C K, Shao L, Tai Y W. Group collaborative learning for co-salient object detection. In: Proceedings of 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021, 12283−12293 |
| [7] |
Fini E, Sangineto E, Lathuilière S, Zhong Z, Nabi M, Ricci E. A unified objective for novel class discovery. In: Proceedings of 2021 IEEE/CVF International Conference on Computer Vision. 2021, 9264−9272 |
| [8] |
Zhang N, Han J, Liu N, Shao L. Summarize and search: learning consensus-aware dynamic convolution for co-saliency detection. In: Proceedings of 2021 IEEE/CVF International Conference on Computer Vision. 2021, 4147−4156 |
| [9] |
|
| [10] |
Yu S, Xiao J, Zhang B, Lim E G. Democracy does matter: comprehensive feature mining for co-salient object detection. In: Proceedings of 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, 969−978 |
Higher Education Press
Supplementary files
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