Shi-mei

Shi-mei's Stars

• chaofengc/IQA-PyTorch

  👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...

  Language:Python1.8k165

• lcylmhlcy/Awesome-algorithm-interview

  算法工程师(人工智能CV方向)面试问题及相关资料

  2.6k432

• sty945/bank_interview

  :bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

  5.2k627

• JakeOliger/What-Makes-A-Patch-Distinct

  Language:Python11

• lidq92/LinearityIQA

  [official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

  Language:Python9314

• deepbrainme/FSnet

  FSnet: A Faster & Smaller Efficient-based Salient Object Detection

  Language:Python11

• busigushen/SCVS

  Code of paper: "SCVS: blind image quality assessment based on spatial correlation and visual saliency".

  Language:Python22

• likyoo/SPANet

  The implementation for "Salient Positions based Attention Network for Image Classification"

  Language:Python192

• ysyscool/SGDNet

  ACM MM 2019 SGDNet: An End-to-End Saliency-Guided Deep Neural Network for No-Reference Image Quality Assessment

  Language:Python7714

• sukritshankar/CNN-Saliency-Map

  Given a pre-trained CNN, generate saliency map for an input image corresponding to the output label of interest.

  Language:Python5012

• jiwei0921/SOD-CNNs-based-code-summary-

  The summary of code and paper for salient object detection with deep learning.

  838148

• xuebinqin/BASNet

  Code for CVPR 2019 paper. BASNet: Boundary-Aware Salient Object Detection

  Language:Python1.4k250

• backseason/PoolNet

  Code for our CVPR 2019 paper "A Simple Pooling-Based Design for Real-Time Salient Object Detection"

  Language:Python628153

• CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection

  code and model of Pyramid Feature Selective Network for Saliency detection

  Language:Jupyter Notebook31294

• DongZhouGu/MathModel-Pretrain

  研究生数学建模，华为杯数学建模，2021D题（数模之星），乳腺癌，机器学习，数据分析

  Language:Jupyter Notebook28441

• WZMIAOMIAO/deep-learning-for-image-processing

  deep learning for image processing including classification and object-detection etc.

  Language:Python22.6k7.9k

• pavancm/CONTRIQUE

  Official implementation for "Image Quality Assessment using Contrastive Learning"

  Language:Python12212

• ShaoQiBNU/RankNet

  RankNet算法介绍

  Language:Python395

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.8k3k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.7k4.7k

• zhongsheng-chen/Adversarial_regression

  Using Conditional GAN for Regression

  22

• joeloskarsson/CGAN-regression

  Code for the master thesis "Probabilistic Regression using Conditional Generative Adversarial Networks"

  Language:Python333

• mkirchmeyer/ganRegression

  Language:Python3318

• mohammadZali/RegressionByCGAN

  CGAN for regression (dataset CA house)

  Language:Jupyter Notebook2

• YotamNitzan/LARGE

  Official Implementation of LARGE: Latent-Based Regression through GAN Semantics

  Language:Python937

• zllrunning/SiameseX.PyTorch

  A simplified PyTorch implementation of Siamese networks for tracking: SiamFC, SiamRPN, SiamRPN++, SiamVGG, SiamDW, SiamRPN-VGG.

  Language:Python43694

• xungeer29/No-reference-Image-Quality-Assessment

  无参考图像质量评估

  Language:Python7616

• zwx8981/DBCNN-PyTorch

  An experimental Pytorch implementation of Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network

  Language:Python21532

• forestLoop/Learning-CS386

  Projects for CS386 Digital Image Processing, 2020 Fall.

  Language:Python1

• zwx8981/UNIQUE

  The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'

  Language:Python12610