#ViT

Token-Space Active Learning: TEAL, a New Method for Low-Budget Semantic Segmentation

TEAL introduces token-space efficient active learning for pixel-level low-budget semantic segmentation with ViT foundation models—one pixel query per image locates informative positions and trains the decoder, reducing annotation cost.