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 2971–2980 of 10420 papers

Title	Date	Tasks	Status	Score
Language-Driven Anchors for Zero-Shot Adversarial Robustness	Jan 30, 2023	Adversarial DefenseAdversarial Robustness	CodeCode Available	5
Successive Embedding and Classification Loss for Aerial Image Classification	Dec 5, 2017	ClassificationClustering	CodeCode Available	5
Delving into Transferable Adversarial Examples and Black-box Attacks	Nov 8, 2016	Adversarial AttackAdversarial Defense	CodeCode Available	5
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)	Apr 23, 2023	Image 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
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional Elements	Oct 22, 2024	Computational Efficiencyimage-classification	CodeCode Available	5
BioLCNet: Reward-modulated Locally Connected Spiking Neural Networks	Sep 12, 2021	Decoderimage-classification	CodeCode Available	5
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
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	Feb 6, 2015	General Classificationimage-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