most citedHybrid Classification-Regression Adaptive Loss for Dense Object Detection

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cs.CV2025

Video Anomaly Detection with Semantics-Aware Information Bottleneck

Juntong Li, Lingwei Dang, Qingxin Xiao +5

Semi-supervised video anomaly detection methods face two critical challenges: (1) Strong generalization blurs the boundary between normal and abnormal patterns. Although existing a…

cs.CV2024★ 2 cited

Hybrid Classification-Regression Adaptive Loss for Dense Object Detection

Yanquan Huang, Liu Wei Zhen, Yun Hao +5

For object detection detectors, enhancing model performance hinges on the ability to simultaneously consider inconsistencies across tasks and focus on difficult-to-train samples. A…