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Found 3 papers, 1 papers with code
Sparse-Tuning: Adapting Vision Transformers with Efficient Fine-tuning and Inference
Sparse-Tuning efficiently fine-tunes the pre-trained ViT by sparsely preserving the informative tokens and merging redundant ones, enabling the ViT to focus on the foreground while reducing computational costs on background regions in the images.
Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers
Firstly, we introduce a set of learnable and autoregressive queries to capture the instantaneous target appearance changes in a sliding window fashion.
Explicit Visual Prompts for Visual Object Tracking
Specifically, we utilize spatio-temporal tokens to propagate information between consecutive frames without focusing on updating templates.
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