DSAA improves fine-grained open-vocabulary object detection by injecting attribute priors via APA in text embeddings, modulating K/V vectors in BERT, and using an attribute-aware contrastive loss, with gains shown on the FG-OVD benchmark.
Lami-detr: Open-vocabulary detection with language model instruction
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DSAA: Dual-Stage Attribute Activation for Fine-grained Open Vocabulary Detection
DSAA improves fine-grained open-vocabulary object detection by injecting attribute priors via APA in text embeddings, modulating K/V vectors in BERT, and using an attribute-aware contrastive loss, with gains shown on the FG-OVD benchmark.