SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 8826–8850 of 10420 papers

TitleStatusHype
ColorNet: Investigating the importance of color spaces for image classificationCode0
The Efficacy of SHIELD under Different Threat Models—0
Self-Supervised Visual Representations for Cross-Modal Retrieval—0
Higher-order Count Sketch: Dimensionality Reduction That Retains Efficient Tensor Operations—0
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networksCode0
Probabilistic Discriminative Learning with Layered Graphical ModelsCode0
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference—0
Semantic Redundancies in Image-Classification Datasets: The 10% You Don't Need—0
Trading-off Accuracy and Energy of Deep Inference on Embedded Systems: A Co-Design Approach—0
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 ClassificationCode0
A Push-Pull Layer Improves Robustness of Convolutional Neural Networks—0
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network—0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network—0
CapsAttacks: Robust and Imperceptible Adversarial Attacks on Capsule Networks—0
Convolutional Neural Networks with Layer ReuseCode0
Stochastic Linear Bandits with Hidden Low Rank Structure—0
ADMM-SOFTMAX : An ADMM Approach for Multinomial Logistic RegressionCode0
Fixup Initialization: Residual Learning Without NormalizationCode0
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—0
Equivariant Transformer NetworksCode0
Deep Multimodality Model for Multi-task Multi-view LearningCode0
Is Pretraining Necessary for Hyperspectral Image Classification?—0
Decoupled Greedy Learning of CNNsCode0
Robust Learning at Noisy Labeled Medical Images: Applied to Skin Lesion Classification—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified