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홈뉴스연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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소개
한국어
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  1. 홈
  2. SOTA
  3. 지속 학습
  4. Continual Learning On Cifar100 20 Tasks

Continual Learning On Cifar100 20 Tasks

평가 지표

Average Accuracy

평가 결과

이 벤치마크에서 각 모델의 성능 결과

모델 이름
Average Accuracy
Paper TitleRepository
ALTA92.98Cross-modal Learning for Domain Adaptation in 3D Semantic Segmentation
CPG-light77.0EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING-
Model Zoo-Continual94.99Model Zoo: A Growing "Brain" That Learns Continually
PAENet77.1Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning-
CPG80.9Compacting, Picking and Growing for Unforgetting Continual Learning
kNN-CLIP90.8Revisiting a kNN-based Image Classification System with High-capacity Storage-
PackNet67.5PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
CondConvContinual77.4EXTENDING CONDITIONAL CONVOLUTION STRUCTURES FOR ENHANCING MULTITASKING CONTINUAL LEARNING-
RMN81Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance Mapping
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한국어

소개

회사 소개데이터셋 도움말

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뉴스튜토리얼데이터셋백과사전

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