- 6 Days, 5 Key Takeaways: Computer Vision and Pattern Recognition Conference 2022 https://medium.com/@lightricks-tech-blog/6-days-5-key-takeaways-computer-vision-and-pattern-recognition-conference-2022-3a51b7f6fec3 2 comments computervision
Linked pages
- [1706.03762] Attention Is All You Need https://arxiv.org/abs/1706.03762 145 comments
- LAION-5B: A NEW ERA OF OPEN LARGE-SCALE MULTI-MODAL DATASETS | LAION https://laion.ai/blog/laion-5b/ 104 comments
- NeRF: Neural Radiance Fields https://www.matthewtancik.com/nerf 67 comments
- [1803.03635] The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks https://arxiv.org/abs/1803.03635 32 comments
- CLIP: Connecting Text and Images https://openai.com/blog/clip/ 15 comments
- [2108.07258] On the Opportunities and Risks of Foundation Models https://arxiv.org/abs/2108.07258 11 comments
- GitHub - NVlabs/eg3d https://github.com/NVlabs/eg3d 5 comments
- [2106.05237] Knowledge distillation: A good teacher is patient and consistent https://arxiv.org/abs/2106.05237 2 comments
- Three mysteries in deep learning: Ensemble, knowledge distillation, and self-distillation - Microsoft Research https://www.microsoft.com/en-us/research/blog/three-mysteries-in-deep-learning-ensemble-knowledge-distillation-and-self-distillation/ 1 comment
- GitHub - mlfoundations/open_clip: An open source implementation of CLIP. https://github.com/mlfoundations/open_clip 0 comments
- DINO and PAWS: Advancing the state of the art in computer vision https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training 0 comments
- [2111.13679] NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images https://arxiv.org/abs/2111.13679 0 comments
- Tweet / Twitter https://twitter.com/tomgoldsteincs/status/1544370726119112704 0 comments