Xu Liang's repositories

mmclassification

OpenMMLab Image Classification Toolbox and Benchmark

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mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

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fiftyone

The open-source tool for building high-quality datasets and computer vision models

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faiss

A library for efficient similarity search and clustering of dense vectors.

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piqa

PyTorch Image Quality Assessement package

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ml-cvnets

CVNets: A library for training computer vision networks

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BCNet

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

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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

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segmenter

[ICCV2021] Official PyTorch implementation of Segmenter: Transformer for Semantic Segmentation

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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ConvNeXt

Code release for ConvNeXt model

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transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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Mastering-Embedded-Linux-Programming-Third-Edition

Mastering Embedded Linux Programming Third Edition, published by Packt

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PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

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nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

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mav_hardware

Documentation of the MAV hardware setup used at the Vision for Robotics Lab.

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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.

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Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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viewer

ML models and internal tensors 3D visualizer

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Brats21_KAIST_MRI_Lab

Codes and pretrained weights for winning submission of 2021 Brain Tumor Segmentation (BraTS) Challenge

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stereo-transformer

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. (ICCV 2021 Oral)

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same

Supplementary Materials for the ACPR 2021 paper "SaME: Sharpness-aware Matching Ensemble for Robust Palmprint Recognition"

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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

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image_undistort

A compact package for undistorting images directly from kalibr calibration files. Can also perform dense stereo estimation

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imgaug

Image augmentation for machine learning experiments.

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openseg.pytorch

The official Pytorch implementation of OCNet series and SegFix.

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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"

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PSPNet

Pyramid Scene Parsing Network, CVPR2017.

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