2 papers
cs.CV2024
REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence
Ruochen Zheng, Jiahao Hong, Changxin Gao +1
The presence of noise in acquired data invariably leads to performance degradation in cross-modal matching. Unfortunately, obtaining precise annotations in the multimodal field is…
cs.CV2024
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification
Jiahao Hong, Jialong Zuo, Chuchu Han +4
Recent unsupervised person re-identification (re-ID) methods achieve high performance by leveraging fine-grained local context. These methods are referred to as part-based methods.…