Cropr uses removable auxiliary heads to learn task-relevant token pruning in ViTs, achieving 1.5-4x speedups with small accuracy drops across image classification, semantic segmentation, and object detection.
Iterative patch selection for high-resolution image recognition
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Token Cropr: Faster ViTs for Quite a Few Tasks
Cropr uses removable auxiliary heads to learn task-relevant token pruning in ViTs, achieving 1.5-4x speedups with small accuracy drops across image classification, semantic segmentation, and object detection.