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 2951–2975 of 10420 papers

Title	Date	Tasks	Status	Score
Dense and Diverse Capsule Networks: Making the Capsules Learn Better	May 10, 2018	General Classificationimage-classification	CodeCode Available	5
Improving model calibration with accuracy versus uncertainty optimization	Dec 14, 2020	image-classificationImage Classification	CodeCode Available	5
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification	Dec 16, 2022	Data Augmentationimage-classification	CodeCode Available	5
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning	Oct 11, 2022	ClassificationContrastive Learning	CodeCode Available	5
Beta-Rank: A Robust Convolutional Filter Pruning Method For Imbalanced Medical Image Analysis	Apr 15, 2023	Image ClassificationMedical Image Analysis	CodeCode Available	5
Improving k-Means Clustering Performance with Disentangled Internal Representations	Jun 5, 2020	ClusteringDeep Clustering	CodeCode Available	5
Improving Neural Architecture Search Image Classifiers via Ensemble Learning	Mar 14, 2019	Ensemble LearningImage Classification	CodeCode Available	5
Diagnosing Model Performance Under Distribution Shift	Mar 3, 2023	AttributeDomain Adaptation	CodeCode Available	5
Improving Generalization of Batch Whitening by Convolutional Unit Optimization	Aug 24, 2021	image-classificationImage Classification	CodeCode Available	5
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes	May 9, 2025	Classificationimage-classification	CodeCode Available	5
Why gradient clipping accelerates training: A theoretical justification for adaptivity	May 28, 2019	General ClassificationImage 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
Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data	Jul 22, 2024	Domain Adaptationimage-classification	CodeCode Available	5
Improving Ensemble Distillation With Weight Averaging and Diversifying Perturbation	Jun 30, 2022	Diversityimage-classification	CodeCode Available	5
Improving Fairness in Image Classification via Sketching	Oct 31, 2022	ClassificationFairness	CodeCode Available	5
Improving Deep Neural Network Random Initialization Through Neuronal Rewiring	Jul 17, 2022	image-classificationImage Classification	CodeCode Available	5
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models	May 2, 2024	image-classificationImage Classification	CodeCode Available	5
Improving singing voice separation with the Wave-U-Net using Minimum Hyperspherical Energy	Oct 22, 2019	Data Augmentationimage-classification	CodeCode Available	5
DiCENet: Dimension-wise Convolutions for Efficient Networks	Jun 8, 2019	image-classificationImage Classification	CodeCode Available	5
Language-Driven Anchors for Zero-Shot Adversarial Robustness	Jan 30, 2023	Adversarial DefenseAdversarial Robustness	CodeCode Available	5
Delving into Transferable Adversarial Examples and Black-box Attacks	Nov 8, 2016	Adversarial AttackAdversarial Defense	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
Improving Classification Neural Networks by using Absolute activation function (MNIST/LeNET-5 example)	Apr 23, 2023	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