Lijun Kong

DisCo DETR: Distance-aware Multi-view Contrastive Learning for DETR Pre-training

Recent self-supervised pre-training methods for object detection often rely on generic object proposals for localization and semantic feature learning for classification, but they yield limited improvements when applied to Detection Transformers (DETR) due to a lack of architectural alignment. Hence