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-fcn-voc2012-

本项目旨在实现语义分割中的强力算法--FCN算法。基于深度学习MXNet框架，在VOC2012数据集（20类，200000张图片）的test image上产生一个像素级别的分割，给出每一个像素属于哪一类，包括"背景"类。基于Resnet18来创建FCN，得到0.9255的语义分割准确率。

augraphy

Augmentation pipeline for rendering synthetic paper printing, faxing, scanning and copy machine processes

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

c-sharp_sources

c_language

Something about C language during my learning!

caffe

Caffe: a fast open framework for deep learning.

caffe-1

This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

cascaded-fcn

Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields"

clockwork-fcn

Clockwork Convnets for Video Semantic Segmenation

cmc

[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

cv-surveys

2021 年，计算机视觉相关综述。包括目标检测、跟踪........

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deep_learning_object_detection

A paper list of object detection using deep learning.

detco

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

dilatedfcnsegmentation

A dilated version of FCN with Stride 2 for Efficient Semantic Segmentation

dress

好耶 是女装

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast-edge-detection-using-structured-forests

Doll´ar, P., and Zitnick, C. L. 2015. Fast edge detection using structured forests. IEEE transactions on pattern analysis and machine intelligence 37(8):1558–1570

fastdeploy

⚡️An Easy-to-use and Fast Deep Learning Model Deployment Toolkit for ☁️Cloud 📱Mobile and 📹Edge. Including Image, Video, Text and Audio 20+ main stream scenarios and 150+ SOTA models with end-to-end optimization, multi-platform and multi-framework support.

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

fcn-for-semantic-segmentation

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

fcn-googlenet

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

fcn_maker

Tools for building fully convolutional networks (FCN), simply.

fcnt

hcsc

[CVPR 2022] PyTorch implementation of Hierarchical Contrastive Selective Coding (HCSC) (https://arxiv.org/abs/2202.00455)

image-segmentation-fcn

Semantic Image Segmentation using a Fully Convolutional Neural Network in TensorFlow

image-segmentation-keras

Implementation of Segnet, FCN, UNet and other models in Keras.