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ml-lab's Projects

fcn.berkeleyvision.org icon fcn.berkeleyvision.org

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

fcos icon fcos

FCOS: Fully Convolutional One-Stage Object Detection

fd-gan icon fd-gan

Pytorch implementation of feature distilling GAN for person reID. (NIPS18)

feathercnn icon feathercnn

FeatherCNN is a high performance inference engine for convolutional neural networks.

features_analysis icon features_analysis

Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV, 2015

fedprox icon fedprox

Federated Optimization for Heterogenous Networks

feed-forward-style-transfer icon feed-forward-style-transfer

TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.

fenchel-young-losses icon fenchel-young-losses

Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses

ferminet icon ferminet

An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

feudal_networks icon feudal_networks

An implementation of FeUdal Networks for Hierarchical Learning as published : https://arxiv.org/abs/1703.01161

fewshot-cvpr icon fewshot-cvpr

Few-Shot Image Recognition by Predicting Parameters from Activations

fewshotlearning icon fewshotlearning

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

fewshotlocal icon fewshotlocal

Few-Shot Learning with Localization in Realistic Settings

fewshotviewpoint icon fewshotviewpoint

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

ffjord icon ffjord

code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".

fgsm icon fgsm

Simple pytorch implementation of FGSM and I-FGSM

finegan icon finegan

FineGAN: Unsupervised Hierarchical Disentanglement for Fine-grained Object Generation and Discovery

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