Pyramid Vision Transformer

This repository contains the official implementation of PVTv1 & PVTv2 in image classification, object detection, and semantic segmentation tasks.

Model Zoo

Image Classification

Classification configs & weights see >>>here<<<.

  • PVTv2 on ImageNet-1K
Method Size [email protected] #Params (M)
PVTv2-B0 224 70.5 3.7
PVTv2-B1 224 78.7 14.0
PVTv2-B2-Linear 224 82.1 22.6
PVTv2-B2 224 82.0 25.4
PVTv2-B3 224 83.1 45.2
PVTv2-B4 224 83.6 62.6
PVTv2-B5 224 83.8 82.0
  • PVTv1 on ImageNet-1K
Method Size [email protected] #Params (M)
PVT-Tiny 224 75.1 13.2
PVT-Small 224 79.8 24.5
PVT-Medium 224 81.2 44.2
PVT-Large 224 81.7 61.4

Object Detection

Detection configs & weights see >>>here<<<.

  • PVTv2 on COCO

Baseline Detectors

Method Backbone Pretrain Lr schd Aug box AP mask AP
RetinaNet PVTv2-b0 ImageNet-1K 1x No 37.2 -
RetinaNet PVTv2-b1 ImageNet-1K 1x No 41.2 -
RetinaNet PVTv2-b2 ImageNet-1K 1x No 44.6 -
RetinaNet PVTv2-b3 ImageNet-1K 1x No 45.9 -
RetinaNet PVTv2-b4 ImageNet-1K 1x No 46.1 -
RetinaNet PVTv2-b5 ImageNet-1K 1x No 46.2 -
Mask R-CNN PVTv2-b0 ImageNet-1K 1x No 38.2 36.2
Mask R-CNN PVTv2-b1 ImageNet-1K 1x No 41.8 38.8
Mask R-CNN PVTv2-b2 ImageNet-1K 1x No 45.3 41.2
Mask R-CNN PVTv2-b3 ImageNet-1K 1x No 47.0 42.5
Mask R-CNN PVTv2-b4 ImageNet-1K 1x No 47.5 42.7
Mask R-CNN PVTv2-b5 ImageNet-1K 1x No 47.4 42.5

Advanced Detectors

Method Backbone Pretrain Lr schd Aug box AP mask AP
Cascade Mask R-CNN PVTv2-b2-Linear ImageNet-1K 3x Yes 50.9 44.0
Cascade Mask R-CNN PVTv2-b2 ImageNet-1K 3x Yes 51.1 44.4
ATSS PVTv2-b2-Linear ImageNet-1K 3x Yes 48.9 -
ATSS PVTv2-b2 ImageNet-1K 3x Yes 49.9 -
GFL PVTv2-b2-Linear ImageNet-1K 3x Yes 49.2 -
GFL PVTv2-b2 ImageNet-1K 3x Yes 50.2 -
Sparse R-CNN PVTv2-b2-Linear ImageNet-1K 3x Yes 48.9 -
Sparse R-CNN PVTv2-b2 ImageNet-1K 3x Yes 50.1 -
  • PVTv1 on COCO
Detector Backbone Pretrain Lr schd box AP mask AP
RetinaNet PVT-Tiny ImageNet-1K 1x 36.7 -
RetinaNet PVT-Small ImageNet-1K 1x 40.4 -
Mask RCNN PVT-Tiny ImageNet-1K 1x 36.7 35.1
Mask RCNN PVT-Small ImageNet-1K 1x 40.4 37.8
DETR PVT-Small ImageNet-1K 50ep 34.7 -

Semantic Segmentation

Segmentation configs & weights see >>>here<<<.

  • PVTv1 on ADE20K
Method Backbone Pretrain Iters mIoU
Semantic FPN PVT-Tiny ImageNet-1K 40K 35.7
Semantic FPN PVT-Small ImageNet-1K 40K 39.8
Semantic FPN PVT-Medium ImageNet-1K 40K 41.6
Semantic FPN PVT-Large ImageNet-1K 40K 42.1

License

This repository is released under the Apache 2.0 license as found in the LICENSE file.

Citation

If you use this code for a paper, please cite:

PVTv1

@misc{wang2021pyramid,
      title={Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions}, 
      author={Wenhai Wang and Enze Xie and Xiang Li and Deng-Ping Fan and Kaitao Song and Ding Liang and Tong Lu and Ping Luo and Ling Shao},
      year={2021},
      eprint={2102.12122},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

PVTv2

@misc{wang2021pvtv2,
      title={PVTv2: Improved Baselines with Pyramid Vision Transformer}, 
      author={Wenhai Wang and Enze Xie and Xiang Li and Deng-Ping Fan and Kaitao Song and Ding Liang and Tong Lu and Ping Luo and Ling Shao},
      year={2021},
      eprint={2106.13797},
      archivePrefix={arXiv},
      primaryClass={cs.CV}
}

GitHub

https://github.com/whai362/PVT