Rekodi ya ushahidi wa mbinu

Weakly supervised vision transformer

Weakly Supervised Vision Transformer (WS-ViT) trains a Vision Transformer on image data that lacks precise pixel-level annotations, instead using cheaper, noisier supervision such as image-level class tags, bounding boxes, or web-scraped text. The global self-attention mechanism of the transformer makes it especially capable of localising objects and learning discriminative features from these incomplete labels.

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Weakly Supervised Vision Transformer (WS-ViT)

Rekodi ya mbinu ya kiajenda · ml-model / deep-learning

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Same method familyKnowledge Distillationmachine-suggested · Relational suggestion, not evidence.Same method familySelf-supervised Learningmachine-suggested · Relational suggestion, not evidence.Same method familySemi-supervised Learningmachine-suggested · Relational suggestion, not evidence.Same method familyVision Transformermachine-suggested · Relational suggestion, not evidence.