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exemplar_cnn

Unofficial fork of the Code used in the paper "Discriminative Unsupervised Feature Learning with Convolutional Neural Networks", NIPS 2014

exemplarsvm

Ensemble of Exemplar-SVMs for Object Detection and Beyond

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

extractfcnfeature

MATLAB toolbox Matconvnet extracts the FCN features for computer vision applications

facenet

Face recognition using Tensorflow

facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

facerec

Implements face recognition algorithms for MATLAB/GNU Octave and Python.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

faster-rcnn_resnet50

Faster R-CNN use RoIAlign and ResNet50

faster-rcnn_tf

Faster-RCNN in Tensorflow

faster_rcnn

Faster R-CNN

fastmask

FastMask: Segment Multi-scale Object Candidates in One Shot

fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcn-resnet50

FCN based on ResNet50

featurelearningrotnet

few-shot-learning

fewshot-can

fewshotmotiontransfer

Pytorch implementation of our paper "Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling"

fewshotwithoutforgetting

fill_between

A Matlab function to fill selected areas in plots

fv-cnn-caption

MatConvNet-based codebase to encode FV-CNN and CNN features from Flickr8k images.

gabornet

gender-recognition-using-iris

Gender recognised with 87% accuracy

generative-adversarial-networks

Tutorial on GANs

gl-hosvd

gl-hosvd denoising algorithm

gluon-cv

Gluon CV Toolkit

gluon-tutorials-zh

《动手学深度学习》

gp-gan

Official Chainer implementation of GP-GAN: Towards Realistic High-Resolution Image Blending

granuloma-image-detect

This repo created to detect Granuloma disorder that occurs on the tooth root. Program uses radiograph image as an input and will produce output based on features of radiograph image. Features are extracted using 2D Gabor Wavelet and classified using Support Vector Machine.

guaranteed-ellipse-fitting-with-sampson-distance

A MATLAB implementation of a new ellipse fitting algorithm that uses an approximate maximum likelihood cost function to fit an ellipse to data, and simultaneously guarantees that an ellipse will be produced.