What are some foundational papers in CV that every newcomer should read?

My thoughts:
"Attention is All You Need" by Ashish Vaswani et al. (2017): This paper introduced the Transformer architecture, which revolutionized natural language processing and has also impacted CV tasks like image captioning and object detection.

"DETR: End-to-End Object Detection with Transformers" by Nicolas Carion et al. (2020): This paper proposed DETR, a Transformer-based model that achieved state-of-the-art performance in object detection without relying on traditional hand-crafted features.

"Diffusion Models Beat Real-to-Real Image Generation" by Aditya Ramesh et al. (2021): …

architecture ashish vaswani attention attention is all you need captioning computervision detection detr end-to-end object detection every image language language processing natural natural language natural language processing object detection with transformers paper papers processing tasks thoughts transformer transformer architecture transformers