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caffe-fcn

Run Long and Shelhamer's FCN image segmentation network using Caffe

caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe-model-1

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

caffe-rfcn

Caffe branch for R-FCN

caffe-segmentation

Train/eval code for DilatedConv [Yu, ICLR'16], DeepLab-v2 [Chen, Arxiv'16], PSPNet [Zhao, CVPR'17]

caffe-yolo

YOLO (Real-Time Object Detection) in caffe

caffe_ocr

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

cascade-rcnn

Cascade R-CNN

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"

cbir

Large-scale image retrival by deep learning(基于深度学习的大规模图像检索)

ccnn

Code for our submision on ICCV2017. A fork from https://github.com/rbgirshick/py-faster-rcnn

couplenet

Code for training 'CoupleNet: Coupling Global Structure with Local Parts for Object Detection' in ICCV 2017

deep-metric-learning-cvpr16

Main repository for Deep Metric Learning via Lifted Structured Feature Embedding

deeplab-v2

DeepLab v2 support cudnn-v5

deformable-convnets-caffe

Deformable Convolutional Networks on caffe

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

densenetcaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

digits2.0

dilatedfcnsegmentation

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

dorn

drbox

A deep learning based algorithm to detect rotated object, for example, objects in remote sensing images

enet

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

fast-rcnn

Fast R-CNN

fcn.berkeleyvision.org

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

fpn

Feature Pyramid Networks for Object Detection

frcnn

Faster R-CNN / R-FCN :bulb: C++ version based on Caffe

google_inception_v3_for_caffe

Google Inception (deepdream) v3 for Caffe

icnet

ICNet for Real-Time Semantic Segmentation on High-Resolution Images, ECCV2018

image-similarity-search

A representation learning command line application in TensorFlow that searches for images that have the most features in common with the input. Extracts features from images using the Inception convolutional neural network. Indexes the images by feature using locality sensitive hashing. Performed approximate nearest-neighbors search to return a list of images most similar to the input.

inception-v4

Inception-v4 model for caffe