Starred repositories
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…
[ICCV 2021] Learning A Single Network for Scale-Arbitrary Super-Resolution
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
EDSR, RCAN, SRGAN, SRFEAT, ESRGAN
Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (CVPR2019)
Implementation of CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。
finetune the ESRGAN super resolution generator for remote sensing images and video
Remote-Sensing-of-Disasters / hawp
Forked from cherubicXN/hawpHolistically-Attracted Wireframe Parsing
A curated list of Google Earth Engine resources
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Pytorch implementation for LapSRN (CVPR2017)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
🤘 awesome-semantic-segmentation
A paper list of object detection using deep learning.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
本文介绍的是利用学生、教职工身份可以享受到的相关学生优惠、教育优惠或教师优惠的权益，但也希望各位享受权利的同时不要忘记自己的义务，不要售卖、转手自己的学生优惠、教育优惠的资格，使得其他同学无法受益。
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Keras implementations of Generative Adversarial Networks.