Image Classification

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1351–1360 of 10420 papers

Title	Date	Tasks	Status	Hype
Self-Supervised Learning by Estimating Twin Class Distributions	Oct 14, 2021	Fine-Grained Image ClassificationImage Classification	CodeCode Available	1
Non-deep Networks	Oct 14, 2021	Image ClassificationObject Detection	CodeCode Available	1
Well-classified Examples are Underestimated in Classification with Deep Neural Networks	Oct 13, 2021	ClassificationGraph Classification	CodeCode Available	1
Subspace Regularizers for Few-Shot Class Incremental Learning	Oct 13, 2021	class-incremental learningClass Incremental Learning	CodeCode Available	1
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks	Oct 12, 2021	Benchmarkingimage-classification	CodeCode Available	1
Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning	Oct 11, 2021	image-classificationImage Classification	CodeCode Available	1
Heavy Ball Neural Ordinary Differential Equations	Oct 10, 2021	image-classificationImage Classification	CodeCode Available	1
Class-Balanced Active Learning for Image Classification	Oct 9, 2021	Active LearningClassification	CodeCode Available	1
Automatic Recognition of Abdominal Organs in Ultrasound Images based on Deep Neural Networks and K-Nearest-Neighbor Classification	Oct 9, 2021	ClassificationDimensionality Reduction	CodeCode Available	1
Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study	Oct 6, 2021	ClassificationComputational Efficiency	CodeCode Available	1

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All datasets ImageNet CIFAR-10 CIFAR-100 STL-10 ObjectNet MNIST SVHN iNaturalist 2018 ImageNet ReaL Flowers-102 Clothing1M mini WebVision 1.0

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CoCa (finetuned)	Top 1 Accuracy	91	—	Unverified
2	Model soups (BASIC-L)	Top 1 Accuracy	90.98	—	Unverified
3	Model soups (ViT-G/14)	Top 1 Accuracy	90.94	—	Unverified
4	DaViT-G	Top 1 Accuracy	90.4	—	Unverified
5	Meta Pseudo Labels (EfficientNet-L2)	Top 1 Accuracy	90.2	—	Unverified
6	DaViT-H	Top 1 Accuracy	90.2	—	Unverified
7	SwinV2-G	Top 1 Accuracy	90.17	—	Unverified
8	MAWS (ViT-6.5B)	Top 1 Accuracy	90.1	—	Unverified
9	Florence-CoSwin-H	Top 1 Accuracy	90.05	—	Unverified
10	RevCol-H	Top 1 Accuracy	90	—	Unverified