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 3426–3450 of 10420 papers

Title	Date	Tasks	Status	Score
An Optimized Toolbox for Advanced Image Processing with Tsetlin Machine Composites	Jun 2, 2024	Edge Detectionimage-classification	CodeCode Available	5
Improving Pairwise Ranking for Multi-label Image Classification	Apr 11, 2017	ClassificationGeneral Classification	CodeCode Available	5
Improvising the Learning of Neural Networks on Hyperspherical Manifold	Sep 29, 2021	Face IdentificationFace Recognition	CodeCode Available	5
Improving Confident-Classifiers For Out-of-distribution Detection	Sep 25, 2019	image-classificationImage Classification	CodeCode Available	5
On Function-Coupled Watermarks for Deep Neural Networks	Feb 8, 2023	image-classificationImage Classification	CodeCode Available	5
Backpropagation Neural Tree	Feb 4, 2022	DescriptiveImage Classification	CodeCode Available	5
Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness	Aug 21, 2024	image-classificationImage 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
Efficient Hyperdimensional Computing	Jan 26, 2023	image-classificationImage Classification	CodeCode Available	5
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)	Apr 23, 2023	Image Classification	CodeCode Available	5
Background Splitting: Finding Rare Classes in a Sea of Background	Aug 28, 2020	image-classificationImage Classification	CodeCode Available	5
Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models	Nov 27, 2023	General Knowledgeimage-classification	CodeCode Available	5
Certification for Differentially Private Prediction in Gradient-Based Training	Jun 19, 2024	image-classificationImage Classification	CodeCode Available	5
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks	Jun 19, 2020	Brain Tumor Segmentationimage-classification	CodeCode Available	5
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring	Jul 17, 2022	image-classificationImage Classification	CodeCode Available	5
Deep Learning Based Automated COVID-19 Classification from Computed Tomography Images	Nov 22, 2021	3D ClassificationAnatomy	CodeCode Available	5
Robust Classification using Contractive Hamiltonian Neural ODEs	Mar 22, 2022	Classificationimage-classification	CodeCode Available	5
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization	May 27, 2019	AutoMLimage-classification	CodeCode Available	5
On the adequacy of untuned warmup for adaptive optimization	Oct 9, 2019	Image ClassificationLanguage Modelling	CodeCode Available	5
Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games	Mar 26, 2019	Atari GamesDeep Reinforcement Learning	CodeCode Available	5
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method	Jul 26, 2019	Adversarial AttackBayesian Optimization	CodeCode Available	5
Deep Learning applied to NLP	Mar 9, 2017	Deep LearningGeneral Classification	CodeCode Available	5
Accurate Dictionary Learning with Direct Sparsity Control	Oct 1, 2018	Dictionary Learningfeature selection	CodeCode Available	5
Deep Learning: An Introduction for Applied Mathematicians	Jan 17, 2018	Deep Learningimage-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