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Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
Quality-Aware Image-Text Alignment for Opinion-Unaware Image Quality Assessment
A unified, extensible, and reproducible benchmark for collaborative filtering (CF) research.
[ICLR 2026] MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
imbalanced-losses is a PyTorch library of training losses for class-imbalanced classification — including Focal Loss, Smooth-AP, and Recall-at-Quantile — with built-in DDP all-gather support for globally-correct rank estimation and normalization across multi-GPU training.
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