vision-transformer topic
deep-text-recognition-benchmark
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
vit-explain
Explainability for Vision Transformers
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
parseq
Scene Text Recognition with Permuted Autoregressive Sequence Models (ECCV 2022)
AdaptFormer
[NeurIPS 2022] Implementation of "AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition"
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
InterpretDL
InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。
towhee
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.