HyperAI초신경

홈 뉴스 최신 연구 논문 튜토리얼 데이터셋 백과사전 SOTA LLM 모델 GPU 랭킹 컨퍼런스

한국어

HyperAI초신경

Age And Gender Classification On Adience Age

평가 지표

Accuracy (5-fold)

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	Accuracy (5-fold)	Paper Title	Repository
MiVOLO-D1	68.69	MiVOLO: Multi-input Transformer for Age and Gender Estimation
ViT-hSeq	84.91	A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images	-
MegaAge	56.01	Quantifying Facial Age by Posterior of Age Comparisons
MiVOLO-V2	69.43	Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender Estimation
Levi_Hassner CNN (single crop, caffe)	49.5	Age and Gender Classification using Convolutional Neural Networks
AL-ResNets-34 + IMDB-WIKI	67.47	Fine-Grained Age Estimation in the wild with Attention LSTM Networks	-
RoR-34 + IMDB-WIKI	66.74	Age Group and Gender Estimation in the Wild with Deep RoR Architecture	-
LMTCNN-2-1 (single crop, tensorflow)	44.26	Joint Estimation of Age and Gender from Unconstrained Face Images using Lightweight Multi-task CNN for Mobile Applications
Levi_Hassner CNN (over-sample, caffe)	50.7	Age and Gender Classification using Convolutional Neural Networks
CPG (single crop, pytorch)	57.66	Compacting, Picking and Growing for Unforgetting Continual Learning
MWR	62.6	Moving Window Regression: A Novel Approach to Ordinal Regression	-
Levi_Hassner CNN (single crop, tensorflow)	44.14	Age and Gender Classification using Convolutional Neural Networks
R-SAAFc2 +IMDB-WIKI	67.3	ConvNets with Smooth Adaptive Activation Functions for Regression	-
UNIORD-ResNet-101 (single crop, pytorch)	61	Deep Ordinal Regression using Optimal Transport Loss and Unimodal Output Probabilities	-
PAENet (single crop, tensorflow)	57.3	Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning
RetinaFace + ArcFace + MLP + IC + Skip connections	60.86	Generalizing MLPs With Dropouts, Batch Normalization, and Skip Connections

0 of 16 row(s) selected.