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cs.CV2026
A Baseline Study and Benchmark for Few-Shot Open-Set Action Recognition with Feature Residual Discrimination
Stefano Berti, Giulia Pasquale, Lorenzo Natale
Few-Shot Action Recognition (FS-AR) has shown promising results but is often limited by a closed-set assumption that fails in real-world open-set scenarios. While Few-Shot Open-Set…
cs.CV2024
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks
Carmela Calabrese, Stefano Berti, Giulia Pasquale +1
Addressing multi-label action recognition in videos represents a significant challenge for robotic applications in dynamic environments, especially when the robot is required to co…