xueliu8617112 Goto Github PK

-re-upinn

Reproduction of the UPINN from "Universal Physics-Informed Neural Networks: Symbolic Differential Operator Discovery with Sparse Data"

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

agem

Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

alae

[CVPR2020] Adversarial Latent Autoencoders

alphastrassen

Reproduction of AlphaTensor paper for 2x2 matrices

alphatensor

amrotor

AMrotor - A MATLAB Toolbox for the Simulation of Rotating Machinery

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

awesome-vision-attentions

Summary of related papers on visual attention

basic-rotating-machine-vibration-analysis

These codes realize data transformation and simple data processing for fault diagnosis.

can-pinn

Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)

cbam

CBAM: Convolutional Block Attention Module for CIFAR10 on ResNet backbone with Pytorch

cbam.pytorch

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

class-incremental-learning

PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).

combogan

conformal-rul-intervals

continual-learning

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

continual-learning-1

Repository of continual learning papers

convolution-vision-transformers

PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

coral-cnn

Rank Consistent Ordinal Regression for Neural Networks with Application to Age Estimation

csi-net

pytorch code of CSI-Net, including data and pre-trained models

cvpr2018_attention

Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark

cvpr2021-code

CVPR 2021 论文开源项目(paper with code)合集，同时欢迎各位大佬提交issue，分享CVPR 2021开源项目

cvprw2020-soft-pseudo-label-teaching

Soft Pseudo-Label Teaching for Cross-Domain Few-shot Learning (CD-FSL)

da

Unsupervised Domain Adaptation Papers and Code

dagcn

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

dann_py3

python 3 pytorch implementation of DANN

dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.