Variable-Granularity Tokenization for High-Resolution Object Detection
VGTok, a training-free tokenizer that sets patch granularity per region from pixels, ahead of the encoder, is introduced, showing that a token budget fixed before the backbone, from local separability and structure geometry alone, holds accuracy on the tiny-object regimes that dominate aerial detection, at $3.1\times l...