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most citedAligning Few-Step Diffusion Models with Dense Reward Difference Learning

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cs.CV2026

Bootstrapping MLLM for Weakly-Supervised Class-Agnostic Object Counting

Xiaowen Zhang, Zijie Yue, Yong Luo +3

Object counting is a fundamental task in computer vision, with broad applicability in many real-world scenarios. Fully-supervised counting methods require costly point-level annota…