arXiv Computer Vision
STATrack: A Target-Aware Fully Spiking Neural Network for Efficient UAV Tracking
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ANTShapes Benchmarking Datasets for Event-Based Neuromorphic Object Classification
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Hugging Face Trending Papers
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Beyond Low-Rank: Low-Rank Sparse Prompting via Spiking Neural Network and Prompt Factorization
Visual Prompting (VP) has emerged as an efficient paradigm for adapting large-scale pre-trained vision models to downstream tasks by incorporating learnable prompts at the input level. However, existing VP methods typically employ dense pixel-level prompts, which often suffer from redundant perturbations, limited generalization and energy inefficiency.