Sunting78

compact_bilinear_pooling

MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added

custom-caffe

My Caffe. I write some useful layers for experiment.

Deep-Learning-Techniques

deep-residual-networks

Deep Residual Learning for Image Recognition

deeplearning

深度学习相关的模型训练、评估和预测相关代码

Deformable-ConvNets-caffe

Deformable Convolutional Networks on caffe

DenseNet-Caffe

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

densenet.mxnet

:fire:A MXNet implementation of DenseNet (with BC structure):fire:

DenseNetCaffe

Caffe code for Densely Connected Convolutional Networks (DenseNets)

ENet

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

FastMaskRCNN

Mask RCNN in TensorFlow

focal-loss

Focal loss for Dense Object Detection

FPN

Feature Pyramid Networks for Object Detection

hed

code for Holistically-Nested Edge Detection

ICNet

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

Image_manipulation_detection

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

jdPigRecognition

京东 JDD 大赛 猪脸识别项目

Kaggle-Carvana-3rd-Place-Solution

3rd place solution ( Carvana Image Masking Challenge )

Low-Rank-Bilinear-Pooling

Fine-grained classification via second order statistics in a compact end-to-end trainable model

Mask_RCNN

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Pig

The Pig Face Recognition Competition

Pytorch-UNet

Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing

really-awesome-semantic-segmentation

A list of papers on Semantic Segmentation.

resnet-protofiles

Caffe Protofiles for MSRA ResNet: train prototxt

RetinaNet

Focal loss for Dense Object Detection

RGB-N

SENet

Squeeze-and-Excitation Networks

Triplet-Loss

Apply triplet loss to face recognition， adding new loss layer to the latest version of caffe.

VanillaCNN

Implementation of the Vanilla CNN described in the paper: Yue Wu and Tal Hassner, "Facial Landmark Detection with Tweaked Convolutional Neural Networks", arXiv preprint arXiv:1511.04031, 12 Nov. 2015. See project page for more information about this project. http://www.openu.ac.il/home/hassner/projects/tcnn_landmarks/ Written by Ishay Tubi : ishay2b [at] gmail [dot] com https://www.l

Xlearn

Transfer Learning Library