Debin Meng's repositories
Emotion-FAN
ICIP 2019: Frame Attention Networks for Facial Expression Recognition in Videos
Bayesian_MQDA
Shallow Bayesian Meta Learning for Real World Few-shot Recognition
AAAI21_MetaDL_Challenge
This is the winner code of the third-places in this Challenge.
Emotion-FBP
ACM ICMI 2019: Exploring Emotion Features and Fusion Strategies for Audio-Video Emotion Recognition
Emotion-Similiarity
Patent: Method for generating emoticons
kdd2020-calibration
How to calibrate your neural network classifier: Getting accurate probabilities from a classification model
CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
How-To-Ask-Questions-The-Smart-Way
本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。
insightface
Face Analysis Project on MXNet
meta-dataset
A dataset of datasets for learning to learn from few examples
tiered-imagenet-tools
Tools for generating tieredImageNet dataset and processing batches
Awesome-Evaluation-of-Visual-Generation
A list of works on evaluation of visual generation models, including evaluation metrics, models, and systems
curated-list-of-awesome-3D-Morphable-Model-software-and-data
The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.
dcface
Zhonglin recommend
digital_image_processing
冈萨雷斯的《数字图像处理第三版》的读书笔记
Face2face
A python library to to fit 3D morphable models to images of faces and capture facial performance overtime with no markers or a special mount
FaceMaskDetection
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
FacialExpressionRecognition
人脸识别之表情识别项目相关源码
ICT-FaceKit
ICT's Vision and Graphics Lab's morphable face model and toolkit
Image-Process
冈萨雷斯《数字图像处理》Python实现(第三版)
PFLD-pytorch
PFLD pytorch Implementation
pytorch_face_landmark
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
pytorch_gpu_memory
pytorch gpu memory check
URT
ICLR 2021: A Universal Representation Transformer Layer for Few-Shot Image Classification