SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers

This is the implementation of the paper SeqCo-DETR: Sequence Consistency Training for Self-Supervised Object Detection with Transformers.

Paper is under review, code is under preparation, please be patient.

Keywords

• Self-supervised learning
• Object detection
• Sequence consistency
• Detection with transformers

Method

Results

Table 1: Comparison of detection results fine-tuned on MS COCO train2017 and evaluated on val2017.

Result in COCO

Table 2: Comparison of detection results fine-tuned on PASCAL VOC trainval07+12 and evaluated on test07.

Result in VOC

Table 3: Comparison results on few-shot detection task on COCO, evaluated on the novel classes.

Result in Few-shot