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jiejie1873491's Projects

awesome-face_recognition icon awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

cavaface icon cavaface

:beers: :rocket: :city_sunset: face recognition training project(pytorch)

deepfas icon deepfas

🔥Deep Learning for Face Anti-Spoofing

discofacegan icon discofacegan

Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral)

fcos icon fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

fpn_tensorflow icon fpn_tensorflow

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

iresnet icon iresnet

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

mixfacenets icon mixfacenets

Official repository for MixFaceNets: Extremely Efficient Face Recognition Networks

mobilenet-ssd icon mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

pretrained-models.pytorch icon pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

quarkdet icon quarkdet

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

ssan icon ssan

Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing, CVPR2022.

vit-pytorch icon vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

yolo-fastestv2 icon yolo-fastestv2

:zap: Based on Yolo's low-power, ultra-lightweight universal target detection algorithm, the parameter is only 250k, and the speed of the smart phone mobile terminal can reach ~300fps+

yolox icon yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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