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Prompt pre-training with twenty-thousand classes for open-vocabulary visual recognition

Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun
2023
Last updated March 27, 2024
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We introduce a prompt pre-training method POMP, which fisrt enables prompt learning on large-scale datasets like ImageNet-21K with over twenty-thousand classes.

POMP is memory and computation efficient. Compared with previous methods like CoOp, it achieves comparable accuracy on ImageNet-1K with only 19% GPU memory and 50% training time.

POMP achieves new SOTAs on various open-vocabulary visual recognition datasets and tasks.

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