pvt_v2_b0

Converted TIMM image classification model for LiteRT.

• Source architecture: pvt_v2_b0
• File: model.tflite

Model Details

• Model Type: Image classification / feature backbone
• Model Stats:
  • Params (M): 3.7
  • GMACs: 0.6
  • Activations (M): 8.0
  • Image size: 224 x 224
• Papers:
  • PVT v2: Improved Baselines with Pyramid Vision Transformer: https://arxiv.org/abs/2106.13797
• Dataset: ImageNet-1k
• Original: https://github.com/whai362/PVT

Citation

@article{wang2021pvtv2,
  title={Pvtv2: Improved baselines with pyramid vision transformer},
  author={Wang, Wenhai and Xie, Enze and Li, Xiang and Fan, Deng-Ping and Song, Kaitao and Liang, Ding and Lu, Tong and Luo, Ping and Shao, Ling},
  journal={Computational Visual Media},
  volume={8},
  number={3},
  pages={1--10},
  year={2022},
  publisher={Springer}
}