HyperAI초신경

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

한국어

HyperAI초신경

Age Estimation On Afad

평가 지표

MAE

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름	MAE	Paper Title	Repository
ResNet-50-OR-CNN	3.16	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-DLDL-v2	3.15	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-DLDL	3.14	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
CORAL	3.48	Rank consistent ordinal regression for neural networks with application to age estimation
ResNet-50-Unimodal-Concentrated	3.20	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-Cross-Entropy	3.14	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-Mean-Variance	3.16	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-Regression	3.17	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
ResNet-50-SORD	3.14	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark
FaRL+MLP	3.12	A Call to Reflect on Evaluation Practices for Age Estimation: Comparative Analysis of the State-of-the-Art and a Unified Benchmark

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