Pinned Repositories
CLRNet
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
HDMapNet
mask-to-coco-json
This repo aims to offer a concise and faste script to complete the conversion from BGR masks to coco format.
Pytorch-Attention-Guided-CycleGAN
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
SC-SfMLearner-Release
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
UnOpticalFlow
Occlusion Aware Unsupervised Learning of Optical Flow From Video
tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
HaiyangPeng's Repositories
HaiyangPeng/mask-to-coco-json
This repo aims to offer a concise and faste script to complete the conversion from BGR masks to coco format.
HaiyangPeng/tensorrtx
Implementation of popular deep learning networks with TensorRT network definition API
HaiyangPeng/CLRNet
Pytorch implementation of our paper "CLRNet: Cross Layer Refinement Network for Lane Detection" (CVPR2022 Acceptance).
HaiyangPeng/contrastive-unpaired-translation
Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)
HaiyangPeng/detectron2
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
HaiyangPeng/HDMapNet
HaiyangPeng/Pytorch-Attention-Guided-CycleGAN
Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.
HaiyangPeng/SC-SfMLearner-Release
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
HaiyangPeng/UnOpticalFlow
Occlusion Aware Unsupervised Learning of Optical Flow From Video