Paper
Visão Computacional
PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation
PixCon is a semi-supervised semantic segmentation framework that uses clean-positive pixel-contrastive learning with per-class memory banks to improve accuracy over existing method…
Hugging Face · Daily Papers
·Ebenezer Tarubinga
·
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Ebenezer Tarubinga
- 0 upvotes da comunidade
- Temas: semi-supervised semantic segmentation, pseudo-labels, DINOv2 teacher, contrastive learning, pixel-contrastive framework, memory bank
Resumo
Resumo original (em inglês), extraído do paper:
PixCon is a semi-supervised semantic segmentation framework that uses clean-positive pixel-contrastive learning with per-class memory banks to improve accuracy over existing methods.Onde ler
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