wsqat

wsqat's Stars

• alibaba/MNN

  MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

  Language:C++8.6k1.7k

• wsqat/OnlineJudge

  use c++

  1

• opendilab/DI-drive

  Decision Intelligence Platform for Autonomous Driving simulation.

  Language:Python56958

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.1k7.9k

• zonechen1994/CV_Interview

  I hope this repo can help you a lot!

  1.2k216

• ahkarami/Deep-Learning-in-Production

  In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

  4.3k684

• movehand/raisr

  A Python implementation of RAISR

  Language:Python554161

• a380922457/XiaChuFang

  Swift XiaChuFang

  Language:Swift1002

• irfanICMLL/structure_knowledge_distillation

  The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

  Language:Python705104

• PolarisShi/distillation

  Language:Python7525

• d-li14/mobilenetv2.pytorch

  72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

  Language:Python672188

• kuan-wang/pytorch-mobilenet-v3

  MobileNetV3 in pytorch and ImageNet pretrained models

  Language:Python772187

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.9k528

• moskomule/senet.pytorch

  PyTorch implementation of SENet

  Language:Python2.3k441

• wuqiyao20160118/ResNet_dilated

  Used in DeepLab or SiameseRPN++

  Language:Python33

• chengdazhi/Deformable-Convolution-V2-PyTorch

  Deformable ConvNets V2 (DCNv2) in PyTorch

  Language:Cuda1.4k229

• elbuco1/CBAM

  CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch

  Language:Python10331

• bermanmaxim/LovaszSoftmax

  Code for the Lovász-Softmax loss (CVPR 2018)

  Language:Jupyter Notebook1.4k269

• GeorgeSeif/Semantic-Segmentation-Suite

  Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

  Language:Python2.5k879

• CoinCheung/BiSeNet

  Add bisenetv2. My implementation of BiSeNet

  Language:Python1.4k306

• switchablenorms/CelebAMask-HQ

  A large-scale face dataset for face parsing, recognition, generation and editing.

  Language:Python2.1k349

• ooooverflow/BiSeNet

  BiSeNet based on pytorch

  Language:Python39477

• wkentaro/pytorch-fcn

  PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

  Language:Python1.7k479

• shelhamer/fcn.berkeleyvision.org

  Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

  Language:Python3.3k1.5k

• mrgloom/awesome-semantic-segmentation

  :metal: awesome-semantic-segmentation

  10.5k2.5k

• zllrunning/face-parsing.PyTorch

  Using modified BiSeNet for face parsing in PyTorch

  Language:Python2.3k453

• YuvalNirkin/face_segmentation

  Deep face segmentation in extremely hard conditions

  Language:C++727152

• abreheret/PixelAnnotationTool

  Annotate quickly images.

  Language:C++1.4k307

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• XPixelGroup/BasicSR

  Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

  Language:Python6.7k1.2k