mqchen1993

Augmentor

Image augmentation library in Python for machine learning.

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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 (HSW+) and Intel® Xeon Phi processors

deepdetect

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE

DeepLab-v3-plus-cityscapes

mIOU=80.12 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

DORN

DRN-MXNet

Dense Relation Network: Learning Consistent and Context-Aware Representation For Semantic Image Segmentation. Modification of DRN source code

EAST_ICPR

Forked from argman/EAST for the ICPR MTWI 2018 CHALLENGE

faster-rcnn-resnet

ResNet Implementation for Faster-rcnn

handong1587.github.io

Hierarchical-Bilinear-Pooling

Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.

imgaug

Image augmentation for machine learning experiments.

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

lsoftmax-pytorch

The Pytorch Implementation of L-Softmax

mAP

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

MobileNet-SSD

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

MultiregionBilinearCNN-ReId

This is the caffe code and evaluation scripts for the paper "Multi-region Bilinear CNNs for Person Re-Identification"

PanopticSegmentation

This repository combines the MASK_RCNN algorithm for instance segmentation and DeepLabV2 Algorithm for semantic segmentation in order to produce predictions for the Panoptic Segmentation Challenge.

PiCANet

Satellite-Segmentation

segment

Medical imaging segmentation.

SENet

Squeeze-and-Excitation Networks

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

TKCN

Tree-structured Kronecker Convolutional Network for Semantic Segmentation [Accepted by ICME 2019]　

unet

用caffe实现Unet

Up-Down-Captioner

Automatic image captioning model based on Caffe, using features from bottom-up attention.

vision

Datasets, Transforms and Models specific to Computer Vision