Age and Gender prediction using Keras

Last update: May 03, 2022

Overview

cnn_age_gender

Age and Gender prediction using Keras

Dataset example :

Description :

UTKFace dataset is a large-scale face dataset with long age span (range from 0 to 116 years old). The dataset consists of over 20,000 face images with annotations of age, gender, and ethnicity. The images cover large variation in pose, facial expression, illumination, occlusion, resolution, etc. This dataset could be used on a variety of tasks, e.g., face detection, age estimation, age progression/regression, landmark localization, etc.

Results :

Owner

XN3UR0N

GitHub Repository

Official implementation of "Robust channel-wise illumination estimation"

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22 Nov 23, 2022

Age and Gender prediction using Keras

Related tags

Overview

cnn_age_gender

Age and Gender prediction using Keras

Dataset example :

Description :

Results :

Owner

XN3UR0N

Official implementation of "Robust channel-wise illumination estimation"

This package proposes simplified exporting pytorch models to ONNX and TensorRT, and also gives some base interface for model inference.

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

Learning To Have An Ear For Face Super-Resolution

This repo is to present various code demos on how to use our Graph4NLP library.

TANL: Structured Prediction as Translation between Augmented Natural Languages

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

PyTorch implementation of Pointnet2/Pointnet++

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An automated facial recognition based attendance system (desktop application)

Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation

Adversarial Graph Augmentation to Improve Graph Contrastive Learning

pixelNeRF: Neural Radiance Fields from One or Few Images

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.

DANet for Tabular data classification/ regression.

Stochastic Normalizing Flows

Fast Differentiable Matrix Sqrt Root

Unofficial implementation of One-Shot Free-View Neural Talking Head Synthesis

Age and Gender prediction using Keras

Related tags

Overview

cnn_age_gender

Age and Gender prediction using Keras

Dataset example :

Description :

Results :

Owner

XN3UR0N

Official implementation of "Robust channel-wise illumination estimation"

This package proposes simplified exporting pytorch models to ONNX and TensorRT, and also gives some base interface for model inference.

RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

Learning To Have An Ear For Face Super-Resolution

This repo is to present various code demos on how to use our Graph4NLP library.

TANL: Structured Prediction as Translation between Augmented Natural Languages

一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM，xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）

PyTorch implementation of Pointnet2/Pointnet++

A object detecting neural network powered by the yolo architecture and leveraging the PyTorch framework and associated libraries.

An automated facial recognition based attendance system (desktop application)

Out-of-Distribution Generalization of Chest X-ray Using Risk Extrapolation

Adversarial Graph Augmentation to Improve Graph Contrastive Learning

pixelNeRF: Neural Radiance Fields from One or Few Images

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren*, Raymond A. Yeh*, Alexander G. Schwing.

DANet for Tabular data classification/ regression.

Stochastic Normalizing Flows

Fast Differentiable Matrix Sqrt Root

Unofficial implementation of One-Shot Free-View Neural Talking Head Synthesis

code for paper "Not All Unlabeled Data are Equal: Learning to Weight Data in Semi-supervised Learning" by Zhongzheng Ren, Raymond A. Yeh, Alexander G. Schwing.