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fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

fast_bilateral_space_stereo

A naïve implementation of the Fast Bilateral-Space Stereo method from the Fast Bilateral-Space Stereo for Synthetic Defocus paper by Jon Barron.

faster-rcnn_tf

Faster-RCNN in Tensorflow

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fate

An Industrial Level Federated Learning Framework

favos

Demo code of the paper "Fast and Accurate Online Video Object Segmentation via Tracking Parts", in CVPR 2018

fbctf-2019-challenges

The challenge source code and solutions for FBCTF 2019

fcgf

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

fcn

Fully Convolutional Networks (Chainer Implementation)

fcn_via_keras

fcrn-depthprediction

Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)

feat

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

feathernets_face-anti-spoofing-attack-detection-challenge-cvpr2019

Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!!

feature-grouping-regularizer

Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.

featurelearningrotnet

federated-learning

federated-learning-1

Federated learning

federated-learning-2

Federated learning experiment using TensorFlow.js

federated-learning-3

tf implementation of federated learning

federated-learning-4

few-shot-ctm

Few shot learning

few-shot-gnn

few-shot-object-detection

Implementations of few-shot object detection benchmarks

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

fewshot-egnn

fewshotlearning

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

fewshotnlp

The source codes of the paper "Improving Few-shot Text Classification via Pretrained Language Representations" and "When Low Resource NLP Meets Unsupervised Language Model: Meta-pretraining Then Meta-learning for Few-shot Text Classification".

fewshotwithoutforgetting

ffd_cvpr2020

fgfm-toy