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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

deeplabv3plus_pytorch

基于deeplabv3plus网络实现了虹膜图像分割以及水果图像分割

deeplearning-paper-notes

Reading notes on deep learning papers---深度学习论文阅读笔记

deeplung

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

detectron

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

dirent

C/C++ library for retrieving information on files and directories

dl-nlp-readings

My Reading Lists of Deep Learning and Natural Language Processing

dlcv_for_beginners

《深度学习与计算机视觉》配套代码

dw2tf

Darknet Weights to TensorFlow

edge-ai-platform-tutorials

Tutorials for the Edge AI Platform

enet

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

examples

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

face-detecion-with-the-faster-r-cnn-r-fcn

Face detection with the Faster-R-CNN or R-FCN

face-landmark

caffe 68 points face-landmark

face-py-faster-rcnn

Face Detection with the Faster R-CNN

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster_rcnn_pytorch

Faster RCNN with PyTorch

fastmaskrcnn

Mask RCNN in TensorFlow

fcn-master

Fully Convolutional Networks: from Semantic Segmentation to Visual Tracking

fcn-master-1

F

fcn-pytorch

🚘 Easiest Fully Convolutional Networks

fcn-resnet101

tensorflow resnet101 fcn semantic segmentation

fcn-resnet50

FCN based on ResNet50

fcn.berkeleyvision.org

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

fcn_caffe_cpp_forward

fcn_caffe_cpp_forward

fcn_voc_32s

Source code to implement FCN voc-fcn32s.

fcnn-test

focalloss

Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.

fpn

Feature Pyramid Networks for Object Detection