VE-yyq's repositories
lift-splat-shoot
Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
AlphaPose
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
awesome-papers-fewshot
Collection for Few-shot Learning
CaDDN
Categorical Depth Distribution Network for Monocular 3D Object Detection (CVPR 2021 Oral)
cpython
The Python programming language
da-faster-rcnn-PyTorch
An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
DehazeZoo
DehazeZoo for collecting dehazing methods, datasets, and codes.
few-shot-object-detection
Implementations of few-shot object detection benchmarks
Fewshot_Detection
Few-shot Object Detection via Feature Reweighting
FewShotDetection
(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"
FewShotPapers
This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.
FewX
FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.
Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
learn2learn
A PyTorch Library for Meta-learning Research
livox_camera_lidar_calibration
Calibrate the extrinsic parameters between Livox LiDAR and camera
mmdetection
OpenMMLab Detection Toolbox and Benchmark
models
Models and examples built with TensorFlow
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
niqe
NIQE for IQA in python..
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
nuscenes-devkit
The devkit of the nuScenes dataset.
PointDAN
Code of NeurIPS19 Paper "PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation".
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
SuperGluePretrainedNetwork
SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习