Glossario IA

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Visual Self-Attention

Mechanism allowing each image patch to evaluate its relative importance with respect to all other patches to capture global dependencies without convolution.

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Cross-Attention Detection

Bidirectional mechanism where object queries interact with image features to simultaneously localize and classify objects.

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Token-to-Token ViT

Variant introducing a progressive transition between tokens with resizing and recombination to preserve local structural information.

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Transformer Decoder Head

Final module of DETR architectures transforming encoder features into bounding box predictions and classes via attention on object queries.