AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |
Back to Blog
We need to go deeper local coop2/21/2023 ![]() ![]() : The code of our CVPR'22 paper, " Conditional Prompt Learning for Vision-Language Models," is released. : The pre-trained weights of CoOp on ImageNet are released here. ![]() : If you're looking for the code to draw the few-shot performance curves (like the ones we show in the CoOp's paper), see draw_curves.py. It provides a novel perspective for fine-tuning large vision models like ViT, so please check it out if you're interested in parameter-efficient fine-tuning/transfer learning. : Our latest work, Neural Prompt Search, has just been released on arxiv. : CoOp has been accepted to IJCV for publication! : Call for Papers: IJCV Special Issue on The Promises and Dangers of Large Vision Models.
0 Comments
Read More
Leave a Reply. |