Chen Liyi's repositories
OpenCV-based-Distance-Estimation-with-Binocular-Fisheye-Camera
Measure binocular distance with opencv
VOC_semantic_evaluation
calculating the mIOU of each class with given labels and model's result
repair_base_DCGAN
repair img base on GAN
CellAssess
the coursework to find contours of cells and its nucleuses
deeplab-pytorch
PyTorch implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC
deeplabv3plus-pytorch
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
DeepLabV3Plus-Pytorch-1
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
fvcore
Collection of common code that's shared among different research projects in FAIR computer vision team.
huxpro.github.io
My Blog / Jekyll Themes / PWA
irn
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)
L2G
The PyTorch Code for our CVPR 2022 paper "L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation"
Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
MaskFormer
Per-Pixel Classification is Not All You Need for Semantic Segmentation (NeurIPS 2021, spotlight)
mmdetection
Open MMLab Detection Toolbox
pytorch-generative-model-collections
Collection of generative models in Pytorch version.
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need