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Image Classification

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전체 기법전체 데이터셋
하위 태스크
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평가표
177
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2,906

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

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Pavia University

원본 태스크: Image Classification / Hyperspectral Image Classification

평가 기록 33건

CUB 200 5-way 5-shot

원본 태스크: Image Classification / Few-Shot Image Classification

평가 기록 32건

CIFAR-100-LT (ρ=10)

원본 태스크: Image Classification / Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning

평가 기록 31건

RVL-CDIP

원본 태스크: Image Classification / Document Image Classification

평가 기록 31건

NABirds

원본 태스크: Image Classification / Fine-Grained Image Classification

평가 기록 30건

Sequential MNIST

원본 태스크: Image Classification / Sequential Image Classification

평가 기록 30건

cifar-100, 10000 Labels

원본 태스크: Image Classification / Semi-Supervised Image Classification

평가 기록 29건

Places-LT

원본 태스크: Image Classification / Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning

평가 기록 29건

CIFAR-10-LT (ρ=100)

원본 태스크: Image Classification / Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning

평가 기록 28건

Mini-Imagenet 5-way (1-shot)

원본 태스크: Image Classification / Few-Shot Image Classification / Unsupervised Few-Shot Image Classification

평가 기록 28건

Mini-Imagenet 5-way (5-shot)

원본 태스크: Image Classification / Few-Shot Image Classification / Unsupervised Few-Shot Image Classification

평가 기록 28건

CIFAR-10, 250 Labels

원본 태스크: Image Classification / Semi-Supervised Image Classification

평가 기록 27건

CIFAR-10N-Aggregate

원본 태스크: Image Classification / Learning with noisy labels

평가 기록 26건

Kuzushiji-MNIST

원본 태스크: Image Classification

평가 기록 26건

CIFAR-100-LT (ρ=50)

원본 태스크: Image Classification / Few-Shot Image Classification / Generalized Few-Shot Classification / Long-tail Learning

평가 기록 25건

CIFAR-10N-Worst

원본 태스크: Image Classification / Learning with noisy labels

평가 기록 25건

Oxford 102 Flowers

원본 태스크: Image Classification / Fine-Grained Image Classification

평가 기록 25건

CIFAR-100N

원본 태스크: Image Classification / Learning with noisy labels

평가 기록 24건

CIFAR-10N-Random1

원본 태스크: Image Classification / Learning with noisy labels

평가 기록 24건

Stanford Cars

원본 태스크: Image Classification

평가 기록 24건

Stanford Dogs

원본 태스크: Image Classification / Fine-Grained Image Classification

평가 기록 24건

CIFAR-10N-Random2

원본 태스크: Image Classification / Learning with noisy labels

평가 기록 23건

CIFAR-10N-Random3

원본 태스크: Image Classification / Learning with noisy labels

평가 기록 23건

FC100 5-way (1-shot)

원본 태스크: Image Classification / Few-Shot Image Classification

평가 기록 22건

FC100 5-way (5-shot)

원본 태스크: Image Classification / Few-Shot Image Classification

평가 기록 22건

Meta-Dataset

원본 태스크: Image Classification / Few-Shot Image Classification

평가 기록 22건

OmniBenchmark

원본 태스크: Image Classification

평가 기록 22건

CIFAR-10, 40 Labels

원본 태스크: Image Classification / Semi-Supervised Image Classification

평가 기록 21건

CIFAR-100, 400 Labels

원본 태스크: Image Classification / Semi-Supervised Image Classification

평가 기록 21건

RESISC45

원본 태스크: Image Classification

평가 기록 20건

ANIMAL

원본 태스크: Image Classification / Learning with noisy labels

평가 기록 19건

DF20

원본 태스크: Image Classification

평가 기록 19건

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.