연세대학교 DE LAB에서 진행한 발표 자료입니다.

학부생 수준에서 논문을 읽고 정리해보았습니다.

Experiments는 DETR 논문을 기준으로 작성하였습니다.

논문: https://arxiv.org/pdf/1506.01497.pdf

논문: https://arxiv.org/pdf/2005.12872.pdf

<PT 자료>

<정리(발표) 자료>

<참고 자료>

1. Faster R-CNN Paper
https://arxiv.org/pdf/1506.01497.pdf

2. DETR Paper
https://arxiv.org/pdf/2005.12872.pdf

3. PR-012: Faster R-CNN : Towards Real-Time Object Detection with Region Proposal Networks
https://www.youtube.com/watch?v=kcPAGIgBGRs&t=1777s

4. PR-284: End-to-End Object Detection with Transformers(DETR)
https://www.youtube.com/watch?v=lXpBcW_I54U

5. DETR – End to end object detection with transformers (ECCV2020)
https://www.youtube.com/watch?v=utxbUlo9CyY

6. [Paper Review] End-to-End Object Detection with Transformers (DETR)
https://www.youtube.com/watch?v=q1wSykClIMk&t=1039s