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3d_detection

aim_fas

Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"

bccd_dataset

BCCD Dataset is a small-scale dataset for blood cells detection.

c3d-keras

train C3D with keras for action recognition

caffe-tensorflow

Caffe models in TensorFlow

carnd-advanced-lane-lines

cdcn

Central Difference Convolutional Networks

centernet

Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .

codes-for-lane-detection

Tensorflow implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding" (AAAI 2018)

crnn_attention_ocr_chinese

CRNN with attention to do OCR,add Chinese recognition

crnn_tensorflow

Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition

darknet

Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)

deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

deep3d

Automatic 2D-to-3D Video Conversion with CNNs

densely-connected-cnn-with-multiscale-feature-attention

Densely Connected CNN with Multi-scale Feature Attention for Text Classification

densenet-caffe

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

didi-starter

efficientnet

Implementation of EfficientNet model. Keras and TensorFlow Keras.

facecheckpython

通过Python语言进行编写的人脸识别源代码。针对人脸识别中，没有放入摄像头采集的照片，所以，需要你自己提供进行采集即可，放入到train_material中的你自己的一个文件夹即可。

google-landmark

Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.

hadamard-matrix-for-hashing

CVPR2020: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval

insightface

Face Analysis Project on MXNet

keras-mnist-center-loss-with-visualization

An implementation for mnist center loss training and visualization

keras-nasnet

"NASNet" models in Keras 2.0+ with weights

keras-segmentation

基于keras的语义分割，fcn32/fcn8/SegNet/U-Net

keras-segnet

SegNet model implemented using keras framework

keras-triplet-center-loss

Simple Keras implementation of Triplet-Center Loss on the MNIST dataset

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

keras_frcnn

Keras Implementation of faster-rcnn