Hf Vit Format Hap Pretrained 256 128

--- license: mit language: - en base_model: - google/vit-base-patch16-224 pipeline_tag: image-feature-extraction --- # Model Card for Model ID ## Overview 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. ## Source Information - **Paper**: [HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception](https://arxiv.org/abs/2310.20695) - **Project Page**: [https://zhangxinyu-xyz.github.io/hap.github.io/](https://zhangxinyu-xyz.github.io/hap.github.io/) - **GitHub Repository**: [https://github.com/junkunyuan/HAP](https://github.com/junkunyuan/HAP) ## Citation If you use this model, please cite the original work as follows: ```bibtex @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} } ``` ---

Source context: 6 downloads · 0 likes · Pipeline image-feature-extraction · Repo tuandunghcmut/hf_vit_format_hap_pretrained_256_128