RightXu

CAT-Net

Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.

TruFor

TruFor

MedISeg

RECCE

[CVPR2022] End-to-End Reconstruction-Classification Learning for Face Forgery Detection

Lie-Group-Motion-Prediction

Code for CVPR2019 Towards Natural and Accurate Future Motion Prediction of Humans and Animals

DCPose

This is an official implementation of our CVPR 2021 paper "Deep Dual Consecutive Network for Human Pose Estimation" (https://openaccess.thecvf.com/content/CVPR2021/papers/Liu_Deep_Dual_Consecutive_Network_for_Human_Pose_Estimation_CVPR_2021_paper.pdf)

numpy-ml

Machine learning, in numpy

CISDL-DMAC

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

mmdetection

OpenMMLab Detection Toolbox and Benchmark

jlu_homework

HRNet-Semantic-Segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Python

All Algorithms implemented in Python

jlu_homework

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

cobnet

convolution oriented boundaries (pytorch)

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

pydensecrf

Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

pose-adv-aug

Code for "Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation" (CVPR 2018)

ConvCRF

This repository contains the reference implementation for our proposed Convolutional CRFs.

ssn_superpixels

Superpixel Sampling Networks (ECCV2018)

FCN-with-CRF-post-processing

Pytorch based implemenatation of Fully Convolutional Networks

tensorflow-model-zoo.torch

InceptionV3, InceptionV4, Inception-Resnet pretrained models for Torch7 and PyTorch

SENet.mxnet

:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

image-splicing-localization

image splicing locailzation using CNN