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awesome-computer-vision

A curated list of awesome computer vision resources

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

ban-vqa

Bilinear attention networks for visual question answering

bilinear-cnn

PyTorch implementation of bilinear CNN for fine-grained image recognition

boostcnn

Boosting Convolutional Neural Networks

coderhhx.github.io

https://coderhhx.github.io/

consistency_models

Official repo for consistency models.

cvpr2018_survey

cvpaper.challenge working repository for surveying all papers of CVPR 2018

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

dfl-cnn-pytorch

implementation of "Learning a Discriminative Filter Bank within a CNN for Fine-grained Recognition"

dgrl_opfe

dpp

Detail Preserving Pooling

factorizedbilinearcoding

This repository is the implementation of AAAI 2020 paper: "Revisiting Bilinear Pooling: A Coding Perspective".

fast-mpn-cov

@CVPR2018: We propose a fast MPN-COV method for computing matrix square root normalization, which is very efficient, scalable to multiple-GPU configuration, while enjoying matching performance with MPN-COV

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcanet

FcaNet: Frequency Channel Attention Networks

few-shot-gnn

fpn.pytorch

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

gslicr

gSLICr: Real-time super-pixel segmentation

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

hugo-academic

inat_comp

iNaturalist competition details

inat_comp_2018

CNN training code for iNaturalist 2018 image classification competition

incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

learnpytorch

machine-unlearning

machineunlearning

Code related to the paper "Machine Unlearning for Features and Labels"

opacus

Training PyTorch models with differential privacy