A CLIP-based semi-supervised multi-label method that aligns class prompts with label-specific image features and adds a context-identification auxiliary task, reporting SOTA mAP on COCO, VOC, and NUS-WIDE.
Multi-label learning from single positive labels
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
A CLIP-based semi-supervised multi-label method that aligns class prompts with label-specific image features and adds a context-identification auxiliary task, reporting SOTA mAP on COCO, VOC, and NUS-WIDE.