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3000fps-mtcnn

face detect and align

advanced-mxnet2caffe

Support most of operator which convert mxnet to caffe.

amsoftmax

A simple yet effective loss function for face verification.

arcface-caffe

insightface-caffe

caffe

Caffe: a fast open framework for deep learning.

caffe-augmentation

Data Augmentation for Caffe

caffe-mobilenet

A caffe implementation of mobilenet's depthwise convolution layer.

caffe-mobilenet-v3

Caffe Implementation of MobileNets V3

caffe-mobilenet_v2

caffe based mobilenet v2 deploy

caffe-tools

Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

convnext

Code release for ConvNeXt model

cvt

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

efficientnet-lite-pytorch

Pytorch implementation of EfficientNet Lite variants

efficientnet-lite.pytorch

PyTorch implementation of EfficientNet-lite and a spectrum of pre-trained models on ImageNet

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

exploring-loss

face-recognition-system

faceboxes

FaceBoxes: A CPU Real-time Face Detector with High Accuracy, IJCB, 2017

fcn.berkeleyvision.org

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

inceptionbn-21k-for-caffe

Inception-BN ImageNet (21K classes) model for Caffe

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

ir-net

This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for accurate binary neural networks.

keras_mixnets

Keras Implementation of MixNets: Mixed Depthwise Convolutions

labelnoisecorrection

Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction

learnopencv

Learn OpenCV : C++ and Python Examples

lite-hrnet

This is an official pytorch implementation of Lite-HRNet: A Lightweight High-Resolution Network.

mae-pytorch

Masked Autoencoders Are Scalable Vision Learners

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

micronet