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

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Showing 3051–3060 of 10420 papers

Title	Date	Tasks	Status	Score
Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness	Aug 21, 2024	image-classificationImage Classification	CodeCode Available	5
Improving Confident-Classifiers For Out-of-distribution Detection	Sep 25, 2019	image-classificationImage Classification	CodeCode Available	5
Deep Visual City Recognition Visualization	May 6, 2019	image-classificationImage Classification	CodeCode Available	5
Adaptive Sample Selection for Robust Learning under Label Noise	Jun 29, 2021	Image ClassificationImage Classification with Label Noise	CodeCode Available	5
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection	Mar 8, 2017	Attributeimage-classification	CodeCode Available	5
Analysing Training-Data Leakage from Gradients through Linear Systems and Gradient Matching	Oct 20, 2022	Attributeimage-classification	CodeCode Available	5
Discriminative Active Learning	Jul 15, 2019	Active LearningBinary Classification	CodeCode Available	5
Boosting Deep Ensemble Performance with Hierarchical Pruning	Dec 7, 2021	Decision MakingDiversity	CodeCode Available	5
An Empirical Investigation of Randomized Defenses against Adversarial Attacks	Sep 12, 2019	Adversarial AttackGeneral Classification	CodeCode Available	5
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance	Mar 27, 2025	Computational EfficiencyFederated Learning	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	RevCol-H	Top 1 Accuracy	90	—	Unverified