SegAssist uses CLIP's dense predictions to filter uncertain test images for oracle labeling, improving incremental discovery of unseen classes in test-time adaptation.
Learning with mixture of pro- totypes for out-of-distribution detection
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Segmentation Assisted Incremental Test Time Adaptation in an Open World
SegAssist uses CLIP's dense predictions to filter uncertain test images for oracle labeling, improving incremental discovery of unseen classes in test-time adaptation.