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 3061–3070 of 10420 papers

Title	Date	Tasks	Status
Discriminative Learning of Sum-Product Networks	Jan 1, 2011	image-classificationImage Classification	—Unverified
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks	Mar 6, 2022	image-classificationImage Classification	—Unverified
Evaluation of Transfer Learning for Classification of: (1) Diabetic Retinopathy by Digital Fundus Photography and (2) Diabetic Macular Edema, Choroidal Neovascularization and Drusen by Optical Coherence Tomography	Jan 26, 2019	ClassificationGeneral Classification	—Unverified
Discriminative Label Consistent Domain Adaptation	Feb 21, 2018	Domain Adaptationimage-classification	—Unverified
Discriminative k-shot learning using probabilistic models	Jun 1, 2017	Few-Shot Image ClassificationGeneral Classification	—Unverified
Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup	Nov 30, 2021	Data AugmentationImage Classification	—Unverified
Improving Deep Hyperspectral Image Classification Performance with Spectral Unmixing	Apr 1, 2020	ClassificationGeneral Classification	—Unverified
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification	Dec 11, 2019	ClassificationDeep Learning	—Unverified
Discriminative Transfer Learning with Tree-based Priors	Dec 1, 2013	ClassificationGeneral Classification	—Unverified
Discriminative Distillation to Reduce Class Confusion in Continual Learning	Aug 11, 2021	Continual Learningimage-classification	—Unverified

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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	Meta Pseudo Labels (EfficientNet-B6-Wide)	Top 1 Accuracy	90	—	Unverified