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 2961–2970 of 10420 papers

Title	Date	Tasks	Status	Score
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring	Jul 17, 2022	image-classificationImage Classification	CodeCode Available	5
Improving Fairness in Image Classification via Sketching	Oct 31, 2022	ClassificationFairness	CodeCode Available	5
An Automated Ensemble Learning Framework Using Genetic Programming for Image Classification	Jul 1, 2019	ClassificationDiversity	CodeCode Available	5
Is Robustness the Cost of Accuracy? -- A Comprehensive Study on the Robustness of 18 Deep Image Classification Models	Aug 5, 2018	General Classificationimage-classification	CodeCode Available	5
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image Classification	Mar 21, 2024	image-classificationImage Classification	CodeCode Available	5
Improving Neural Architecture Search Image Classifiers via Ensemble Learning	Mar 14, 2019	Ensemble LearningImage Classification	CodeCode Available	5
Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling	Apr 11, 2024	image-classificationImage Classification	CodeCode Available	5
Delving into Transferable Adversarial Examples and Black-box Attacks	Nov 8, 2016	Adversarial AttackAdversarial Defense	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
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Nov 27, 2023	General Knowledgeimage-classification	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