Stars
Official pytorch implementation for "APB2Face: Audio-guided face reenactment with auxiliary pose and blink signals", ICASSP'20
适用于移动端的人脸识别模型，计算量与mobilefacenet相同，但megaface上提升了2%+
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
This repository contains the source code of our work on designing efficient CNNs for computer vision
Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
中文语音识别; Mandarin Automatic Speech Recognition;
XLNet: Generalized Autoregressive Pretraining for Language Understanding
A simple, fully convolutional model for real-time instance segmentation.
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
MobileNetV3 for Semantic Segmentation.
Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).
2 classes of lightweight object detection. train on VOC 、SAR
dabnn is an accelerated binary neural networks inference framework for mobile platform
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
Simple and Effective Face Detector, based on Progressive Calibration Networks (PCN) which is an accurate rotation-invariant face detector running at real-time speed on CPU, published in CVPR 2018.
Face Alignment by Mobilenetv2
the pytorch implementation of light models: SqueezeNet, ShuffleNet, MobileNet, MobileNetv2 and ShuffleNetv2
[CVPR 2018] Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks
Accelerated Training for Massive Classification via Dynamic Class Selection (AAAI 2018, Oral)
Project page for Heated-up Softmax Embedding
Implementation for <Learning towards Minimum Hyperspherical Energy> in NIPS'18.
Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)
cascaded convolutional neural network for facial point detection