mqchen1993's repositories
Deeplab-v3plus
A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)
awesome-panoptic-segmentation
Panoptic Segmentation Paper List.
DBow3
Improved version of DBow2
Deep-Learning-Semantic-Segmentation
A paper list of semantic segmentation using deep learning.
deep_learning_object_detection
A paper list of object detection using deep learning.
Deformable-ConvNets
Deformable Convolutional Networks
docker-pytorch
A Docker image for PyTorch
Facial-Similarity-with-Siamese-Networks-in-Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
google-landmark
Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.
HRNet-Semantic-Segmentation
High-resolution representation learning (HRNets) for Semantic Segmentation
insightface
State-of-the-art 2D and 3D Face Analysis Project
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
maskscoring_rcnn
Codes for paper "Mask Scoring R-CNN".
models
Models and examples built with TensorFlow
OCNet.pytorch
Please star the openseg.pytorch project for the updated code that can reproduce all the results of OCNet and Fast-OCNet.
PANet
PANet for Instance Segmentation and Object Detection
PSPNet-TF-Reproduce
Training PSPNet in Tensorflow. Reproduce the performance from the paper.
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-deeplab-xception
DeepLab v3+ model in PyTorch. Support different backbones.
pytorch-insightface
Pretrained insightface models ported to pytorch
Semantic_Segmentation_Review
A Review on Deep Learning Techniques Applied to Semantic Segmentation 研究
Siamese-Networks-for-One-Shot-Learning
Implementation of Siamese Neural Networks for One-shot Image Recognition
Sparse-Depth-Completion
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. 1st place on KITTI. (MVA 2019 Conference)
tensorflow
An Open Source Machine Learning Framework for Everyone