a new state-of-the-art in zero-shot on ImageNet 83.26.
By modifying the inference process and utilizing the EVA02-CLIP-bigE-14-plus model, we achieved a zero-shot accuracy of 83.26%. Consistent improvements were also observed across other model scales.I hope we can continue our conversation further.
Hi @pandaupc,
We are very happy to hear that. It's a really big improvement. We are wondering if you have a plan to release your methods.
How to achieve 83.26%? I got only 82.1% with CuPL prompts.
We have submitted our method to NeurIPS 2023, and we are currently conducting more experiments based on EvaClip, hoping to achieve better results.
We referenced CUPL, but we also employed a variety of other techniques.
We have submitted our method to NeurIPS 2023, and we are currently conducting more experiments based on EvaClip, hoping to achieve better results.
Hi, @pandaupc Did you release the paper?