Xu Liang's repositories
mmclassification
OpenMMLab Image Classification Toolbox and Benchmark
mmpose
OpenMMLab Pose Estimation Toolbox and Benchmark.
fiftyone
The open-source tool for building high-quality datasets and computer vision models
faiss
A library for efficient similarity search and clustering of dense vectors.
piqa
PyTorch Image Quality Assessement package
ml-cvnets
CVNets: A library for training computer vision networks
BCNet
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]
Person_reID_baseline_pytorch
Pytorch ReID: A tiny, friendly, strong pytorch implement of object re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
segmenter
[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation
mae
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Mastering-Embedded-Linux-Programming-Third-Edition
Mastering Embedded Linux Programming Third Edition, published by Packt
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
nanodet
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
mav_hardware
Documentation of the MAV hardware setup used at the Vision for Robotics Lab.
boundary-loss
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
viewer
ML models and internal tensors 3D visualizer
Brats21_KAIST_MRI_Lab
Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge
stereo-transformer
Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)
same
Supplementary Materials for the ACPR 2021 paper "SaME: Sharpness-aware Matching Ensemble for Robust Palmprint Recognition"
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
image_undistort
A compact package for undistorting images directly from kalibr calibration files. Can also perform dense stereo estimation
imgaug
Image augmentation for machine learning experiments.
openseg.pytorch
The official Pytorch implementation of OCNet series and SegFix.
MiDaS
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2020"
PSPNet
Pyramid Scene Parsing Network, CVPR2017.