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cs.CV2026
ActionUNet: Improving Robustness of VLA Models with Efficient Multi-scale Fine-tuning
Di Zhu, Ziheng Yan, Fang Wan
Vision-Language-Action (VLA) models have shown great promise for robotic manipulation by mapping multi-modal semantics to physical actions. However, this mapping inherently struggl…
cs.CV2023
Weakly Supervised Video Individual CountingWeakly Supervised Video Individual Counting
Xinyan Liu, Guorong Li, Yuankai Qi +5
Video Individual Counting (VIC) aims to predict the number of unique individuals in a single video. % Existing methods learn representations based on trajectory labels for individu…