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adaptsegnet

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

adversarialnetspapers

The classical papers and codes about generative adversarial nets

awesome-semantic-segmentation

awesome-semantic-segmentation

caffe

Caffe: a fast open framework for deep learning.

caffe-segnet-cudnn5

This repository was a fork of BVLC/caffe and includes the upsample, bn, dense_image_data and softmax_with_loss (with class weighting) layers of caffe-segnet (https://github.com/alexgkendall/caffe-segnet) to run SegNet with cuDNN version 5.

casia-thesis

自动化所硕博论文模板

cityscapesscripts

README and scripts for the Cityscapes Dataset

coco-json-converter

COCO Json converter python script for DAVIS 2016

cogan-tensorflow

Implement Coupled Generative Adversarial Networks in Tensorflow

crfasrnn

This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/

curfil

CUDA Random Forest implementation for Image Labeling tasks

dataset-api

Api for visualize sample data, evaluation of different tasks

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

deeplab-v2--resnet-101--tensorflow

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

deeplab_v2

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

densenet-tensorflow

DenseNet Implementation in Tensorflow

depth-estimation-from-single-images

Depth estimation from single images

depth_estimation

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dsac

Code for DSAC (Differentiable RANSAC) for Camera Localization, CVPR 17

dualgan

DualGAN-tensorflow: tensorflow implementation of DualGAN

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015.

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

generative-models

Collection of generative models, e.g. GAN, VAE in Tensorflow, Keras, and Pytorch.

gvnn

gvnn: Geometric Vision with Neural Networks

hed

code for Holistically-Nested Edge Detection

imagebasedmodellingeduv1.0

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model

lapsrn

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)