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fast_feature_detector

Unofficial third-party implementation of FFD (fast feature detector) published in IEEE TIP 2020.

fast_seg

This repo provides :zap: fast:zap: semantic segmentation models on CityScapes/Camvid DataSet by Pytorch

faster_rcnn_for_dota

Code used for training Faster R-CNN on DOTA

fastmaskrcnn

Mask RCNN in TensorFlow

fasttext

Library for fast text representation and classification.

fb.resnet.torch

Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

fcis

Fully Convolutional Instance-aware Semantic Segmentation

fcn

Chainer Implementation of Fully Convolutional Networks.

fcn-for-semantic-segmentation

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

fcn.berkeleyvision.org

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

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

fcn_via_keras

find-object

Find-Object project

flic

focal-frequency-loss

[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis

focal-loss

Focal loss for Dense Object Detection

focus-tool

A simple script which gives a numeric value for how well a camera lens is focused in a region

foreign-object-detection

forward-implementation-of-fast-and-compact-cnn-for-offline-hccr

fourier-analysis-digital-images

Fourier analysis applications for image matching.

fourier-mellian

freiburg_groceries_dataset

Freiburg Groceries Dataset

frrn

Full Resolution Residual Networks for Semantic Image Segmentation

frugally-deep

Header-only library for using Keras models in C++.

fsad-net

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy (MICCAI 2020)

fully-connected-densenets-semantic-segmentation

Fully Connected DenseNet for Image Segmentation (https://arxiv.org/pdf/1611.09326v1.pdf)

fundamentals-of-deep-learning-book

Code companion to the O'Reilly "Fundamentals of Deep Learning" book

fusenet

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

gabor-api

C++ code library implementation of Gabor filters.

gabor-convolutional-networks

@article{GaborCNNs, title={Gabor Convolutional Networks}, author={Luan, Shangzhen and chen, chen and Zhang, Baochang* and han, jungong and Liu, Jianzhuang}, year={2018}, IEEE Trans. Image processing. }