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few-shot-object-detection

Implementations of few-shot object detection benchmarks

few-shots-segmentation-domain-adaptation_

fewshot_detection

Few-shot Object Detection via Feature Reweighting

fewshotvision

Code for Master research internship report : https://arxiv.org/abs/1909.13579

focal-loss

Focal loss for Dense Object Detection

fpn

Feature Pyramid Network

fsce

fusenet

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

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gcc-0.9

The first available release, on March 22, 1987.

gcnet

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

get_iplayer

A utility for downloading TV and radio from BBC iPlayer

gfocal

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

git-recipes

:octocat: Git recipes in Chinese. 高质量的Git中文教程.

gitfixum

On undoing, fixing, or removing commits or mistakes in git

gmic-filters-overview

Apply all G'MIC filters to an image and view results in HTML

googletest

Google Test

gpa-detection

Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).

grad-cam-pytorch

PyTorch implementation of Grad-CAM

gradcam.pytorch

Pytorch Implementation of Visual Explanations from Deep Networks via Gradient-based Localization

gridnet

Code for GridNet

groupsoftmax-simpledet

GroupSoftmax cross entropy loss function for training with multiple different benchmark datasets

guetzli

Perceptual JPEG encoder

guided-attention-inference-network

Contains implementation of Guided Attention Inference Network (GAIN) presented in Tell Me Where to Look(CVPR 2018). This repository aims to apply GAIN on fcn8 architecture used for segmentation.

hadesfcs

Complete flight control system designed from scratch. Hardware designed with KiCad.

heatmap

Python package to combine image and heatmap

hkrm

Hybrid Knowledge Routed Module for Large-scale Object Detection (NerIPS2018)

human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

iccv2019-inc

ICCV 2019 Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild

id-cgan

Image De-raining Using a Conditional Generative Adversarial Network