This is an official implementation for "Self-Supervised Learning with Swin Transformers".
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Updated
May 13, 2021 - Python
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
Swin Transformer C++ Implementation
SwinUPer - an inpaintor that uses Swin Transformer and UPerNet as backbone for inpainting. Built on top of mmediting, mmsegmentation and Swin Transformer's implementation.
paddle cifar100 training
Unofficial implementation of "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" (https://arxiv.org/abs/2103.14030)
Integration of Swin Transformer to DETR for Robust Object Detection (DEMO)
Deploy Swin Transformer using TorchServe
swin transformer pytorch starter
Swin-Transformer implementation in MegEngine. This is a showcase for training on GPU with less memory by leveraging MegEngine DTR technique.
A PaddlePaddle version image model zoo.
My notes and implementation of transformer.
Oriented Object Detection: Oriented RepPoints + Swin Transformer/ReResNet
A novel deep regression method for image scoring.
PetFinder.my - Pawpularity Contest 13/3537 solution
some basic transformer models about computer vision
PetFinder.my - Pawpularity Contest | Kaggle Competition Bronze Medal 🥉 (205th out of 3537 teams)
Image denoising replication of SwinIR paper
HTC implementation using PyTorch (supports MOSAIC/MixUp and RandomAugment)
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.
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