A sparse-attention vision transformer, trained without handcrafted feature extractors, reports state-of-the-art image manipulation localization and lower compute on four public benchmarks.
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Can We Get Rid of Handcrafted Feature Extractors? SparseViT: Nonsemantics-Centered, Parameter-Efficient Image Manipulation Localization through Spare-Coding Transformer
A sparse-attention vision transformer, trained without handcrafted feature extractors, reports state-of-the-art image manipulation localization and lower compute on four public benchmarks.