paper-with-me

Non-exemplar-based Class Incremental Learning

3개 벤치마크 · 논문 2편 · 이 태스크의 논문 보기 →

Benchmarks

ImageNetSubset

결과 2개

TinyImageNet

결과 2개

cifar100

결과 2개

Most implemented

Papers

NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning

2023-08-18 · Tamasha Malepathirana, Damith Senanayake, Saman Halgamuge

Catastrophic forgetting; the loss of old knowledge upon acquiring new knowledge, is a pitfall faced by deep neural networks in real-world applications. Many prevailing solutions to this problem rely on storing exemplars …

class-incremental learningClass Incremental LearningContinual LearningIncremental Learning+2

NAPA-VQ: Neighborhood-Aware Prototype Augmentation with Vector Quantization for Continual Learning

2023-01-01 · ICCV 2023 1 · Tamasha Malepathirana, Damith Senanayake, Saman Halgamuge

Catastrophic forgetting; the loss of old knowledge upon acquiring new knowledge, is a pitfall faced by deep neural networks in real-world applications. Many prevailing solutions to this problem rely on storing exempl…

class-incremental learningClass Incremental LearningContinual LearningIncremental Learning+2