This paper reviews recent progress from the perspectives of dataset evolution, model architectures, and downstream adaptation strategies, covering parameter-efficient fine-tuning, prompt engineering, few-shot and zero-shot learning, open-vocabulary segmentation, and domain adaptation.
Ming Deng, Yongyi Chen, Guanghai Ding et al.· Italian National Conference...· 0 citations
SpikingMOT is proposed as a spike-driven tracker that adaptively models sparse trajectory dynamics with spiking neural networks (SNNs) and brings SNNs into MOT, opening a promising direction for efficient tracking.
Yiding Sun, Xiangyang Yang, Dongxu Zhang et al.· 1 citation
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