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This repository contains python implementation of the paper: Super-resolution of Omnidirectional Images Using Adversarial Learning
NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution
Official Repsoitory for "Activate or Not: Learning Customized Activation." [CVPR 2021]
Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)
yolov3 with mobilenet v2 and ASFF
Pytorch implementation of the ECCV 2020 paper: AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Pytorch implementation of various Attention Mechanism
Implement FPN with pytorch
PyTorch implementation of Grad-CAM, vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps
Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.
A pytorch implementation of Fine-Grained Classification via Hierarchical Bilinear Pooling with Aggregated Slack Mask (HBPASM).
Classification for hyperspectral imagery
CVPR 2021 Oral paper "LED2-Net: Monocular 360˚ Layout Estimation via Differentiable Depth Rendering" official PyTorch implementation.
A Multi-channel CNN for Blind 360-Degree Image Quality Assessment
Reproduction of paper: Learning Discriminative Features with Multiple Granularities for Person Re-Identification
This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).
The improved version of our previous work SalGAN360 which predict visual saliency on 360° image
Code and models for "Panoramic convolutions for 360º single-image saliency prediction"
Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-identification baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
PyTorch implementations of Generative Adversarial Networks.
This is a third party implementation of RA-CNN in pytorch.
PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"
Remote Sensing Image Classification Benchmark for Deep Learning
[2023-CVPR] ScanDMM: A Deep Markov Model of Scanpath Prediction for 360-degree Images
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021)
An Open Source Machine Learning Framework for Everyone
Datasets, Transforms and Models specific to Computer Vision
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.