Implementation of Convolutional LSTM in PyTorch.

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

gan, wgan-gp, anomaly detection, unsupervised, pytorch

MATLAB implementations of popular Image Forensic algorithms

A list of papers, codes and other interesting collections pertaining to image tampering detection and localization.

Code for Paper "Image Forgery Detection and Localization via a Reliability Fusion Map"

Implementation of EfficientNet model. Keras and TensorFlow Keras.

[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for imag…

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

Code for our CVPR2020 paper "Strip Pooling: Rethinking Spatial Pooling for Scene Parsing"

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Implementation of Non-local Block.

Non-local Neural Networks for Video Classification

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

A PyTorch implementation of PointRend: Image Segmentation as Rendering

A very simple generative adversarial network (GAN) in PyTorch

A Collection of Variational Autoencoders (VAE) in PyTorch.

Models and examples built with TensorFlow

A simplified implemention of Faster R-CNN that replicate performance from origin paper

SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

基于双流 Faster R-CNN 网络的 图像篡改检测

Adversarial Learning for Constrained Image Splicing Detection and Localization based on Atrous Convolution

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

Groundtruth images of tampering dataset CASIA 1.0

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

A PyTorch implementation of the architecture of Mask RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow