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 2511–2520 of 10420 papers

Title	Date	Tasks	Status	Score
Adversarial Defense of Image Classification Using a Variational Auto-Encoder	Dec 7, 2018	Adversarial DefenseGeneral Classification	CodeCode Available	5
InDL: A New Dataset and Benchmark for In-Diagram Logic Interpretation based on Visual Illusion	May 28, 2023	BenchmarkingDecision Making	CodeCode Available	5
Adversarial Defense by Suppressing High-frequency Components	Aug 19, 2019	Adversarial DefenseClassification	CodeCode Available	5
Classifying high-dimensional Gaussian mixtures: Where kernel methods fail and neural networks succeed	Feb 23, 2021	image-classificationImage Classification	CodeCode Available	5
Revisiting 16-bit Neural Network Training: A Practical Approach for Resource-Limited Learning	May 18, 2023	Image Classification	CodeCode Available	5
Classifying a specific image region using convolutional nets with an ROI mask as input	Dec 1, 2018	General Classificationimage-classification	CodeCode Available	5
In-domain representation learning for remote sensing	Nov 15, 2019	Image ClassificationMulti-Label Image Classification	CodeCode Available	5
Class-Conditioned Transformation for Enhanced Robust Image Classification	Mar 27, 2023	Adversarial AttackClassification	CodeCode Available	5
Classification-Specific Parts for Improving Fine-Grained Visual Categorization	Sep 16, 2019	ClassificationFeature Importance	CodeCode Available	5
Understanding Intrinsic Robustness Using Label Uncertainty	Jul 7, 2021	Adversarial RobustnessClassification	CodeCode Available	5

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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	DaViT-H	Top 1 Accuracy	90.2	—	Unverified
6	Meta Pseudo Labels (EfficientNet-L2)	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	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified