[R] An Auto-Regression Model for Object Recognition

Hello everyone!

I would like to share our recent CVPR work, hoping to spread our simple ideas.

**\[TL;DR\]** The auto-regression model can predict labels from just an input image, without a predefined query gallery (e.g., CLIP-like models) or predefined class concepts (e.g., VGG/ResNet-like models). The model predicts top-K labels, e.g., **top-100**, from the entire textual space (any label).

For more details, please visit our paper and project: [https://github.com/kaiyuyue/nxtp](https://github.com/kaiyuyue/nxtp).

Your thoughts and feedback are appreciated. Thank you very much!

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auto class clip concepts cvpr hello ideas image labels machinelearning object query recognition regression resnet simple vgg work