2 papers
cs.CV2025
ReIDMamba: Learning Discriminative Features with Visual State Space Model for Person Re-Identification
Hongyang Gu, Qisong Yang, Lei Pu +2
Extracting robust discriminative features is a critical challenge in person re-identification (ReID). While Transformer-based methods have successfully addressed some limitations o…
stat.ML2025
Detecting Scarce and Sparse Anomalous: Solving Dual Imbalance in Multi-Instance Learning
Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou +3
In real-world applications, it is highly challenging to detect anomalous samples with extremely sparse anomalies, as they are highly similar to and thus easily confused with normal…