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 3251–3275 of 10420 papers

Title	Date	Tasks	Status	Score
DropBlock: A regularization method for convolutional networks	Oct 30, 2018	Image ClassificationObject Detection	CodeCode Available	5
Calibrate to Interpret	Jul 7, 2022	BIG-bench Machine LearningFairness	CodeCode Available	5
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes	May 9, 2025	Classificationimage-classification	CodeCode Available	5
Batch Model Consolidation: A Multi-Task Model Consolidation Framework	May 25, 2023	Continual Learningimage-classification	CodeCode Available	5
Improving Generalization and Convergence by Enhancing Implicit Regularization	May 31, 2024	image-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
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks	Apr 5, 2023	image-classificationImage Classification	CodeCode Available	5
Improving model calibration with accuracy versus uncertainty optimization	Dec 14, 2020	image-classificationImage Classification	CodeCode Available	5
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation	Oct 12, 2019	Domain Adaptationimage-classification	CodeCode Available	5
Deep Neural Network Compression for Image Classification and Object Detection	Oct 7, 2019	ClassificationClustering	CodeCode Available	5
Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks	Aug 23, 2019	image-classificationImage Classification	CodeCode Available	5
A Retention-Centric Framework for Continual Learning with Guaranteed Model Developmental Safety	Oct 4, 2024	Autonomous DrivingContinual Learning	CodeCode Available	5
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation	Jun 30, 2022	Diversityimage-classification	CodeCode Available	5
Deep neural network based on F-neurons and its learning	Nov 3, 2022	Activation Function Synthesisimage-classification	CodeCode Available	5
A multiple-instance densely-connected ConvNet for aerial scene classification	Mar 3, 2020	Aerial Scene ClassificationClassification	CodeCode Available	5
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
Improving Confident-Classifiers For Out-of-distribution Detection	Sep 25, 2019	image-classificationImage Classification	CodeCode Available	5
Improving Neural Architecture Search Image Classifiers via Ensemble Learning	Mar 14, 2019	Ensemble LearningImage Classification	CodeCode Available	5
Dual Active Sampling on Batch-Incremental Active Learning	May 22, 2019	Active Learningimage-classification	CodeCode Available	5
Deep Nets with Subsampling Layers Unwittingly Discard Useful Activations at Test-Time	Oct 1, 2024	image-classificationImage Classification	CodeCode Available	5
Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction	Feb 23, 2018	image-classificationImage Classification	CodeCode Available	5
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification	Dec 1, 2016	ClassificationDeep Learning	CodeCode Available	5
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Nov 27, 2023	General Knowledgeimage-classification	CodeCode Available	5
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention	Jun 4, 2021	ClassificationFine-Grained Image 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	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