OpenMMLab Detection Toolbox and Benchmark

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Implementation of popular deep learning networks with TensorRT network definition API

A treasure chest for visual classification and recognition powered by PaddlePaddle

OpenMMLab Pre-training Toolbox and Benchmark

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Object Detection and Instance Segmentation.

This is an official implementation for "Video Swin Transformers".

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming), Quantization (MQBench) and Deployment (TensorRT, ncnn) Compression Tool Box.

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt

This is an official implementation for "Self-Supervised Learning with Swin Transformers".

TransMorph: Transformer for Unsupervised Medical Image Registration (PyTorch)

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE 等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

Video Swin Transformer - PyTorch

SUNet: Swin Transformer with UNet for Image Denoising

Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"

Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.