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tuandunghcmut/hf_vit_format_hap_pretrained_256_128
hf_vit_format_hap_pretrained_256_128 is a image feature extraction model from tuandunghcmut. Use it for the image feature extraction task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This is a checkpoint for the HAP (Human-centric vision backbone) model, originally introduced in the NeurIPS 2023 paper HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. The checkpoint has been…
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From the Hugging Face model README
This is a checkpoint for the HAP (Human-centric vision backbone) model, originally introduced in the NeurIPS 2023 paper HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. The checkpoint has been converted from the authors' original format to the HuggingFace Vision Transformer (ViT) format. Note: This model is not my own work; it is an adaptation of the original.
If you use this model, please cite the original work as follows:
@article{yuan2023hap,
title={HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception},
author={Yuan, Junkun and Zhang, Xinyu and Zhou, Hao and Wang, Jian and Qiu, Zhongwei and Shao, Zhiyin and Zhang, Shaofeng and Long, Sifan and Kuang, Kun and Yao, Kun and others},
journal={Advances in Neural Information Processing Systems},
volume={36},
year={2023}
}