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 7401–7425 of 10420 papers

TitleStatusHype
Planarian Neural Networks: Evolutionary Patterns from Basic Bilateria Shaping Modern Artificial Neural Network Architectures—0
BAFFLE: TOWARDS RESOLVING FEDERATED LEARNING’S DILEMMA - THWARTING BACKDOOR AND INFERENCE ATTACKS—0
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts—0
Deep Learning for Hyperspectral Image Classification: An Overview—0
Interpretable Failure Detection with Human-Level Concepts—0
Interpretable Deep Models for Cardiac Resynchronisation Therapy Response Prediction—0
Deep Learning For Computer Vision Tasks: A review—0
BadScan: An Architectural Backdoor Attack on Visual State Space Models—0
Playing the Game of Universal Adversarial Perturbations—0
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP—0
A Model-Agnostic SAT-based Approach for Symbolic Explanation Enumeration—0
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification—0
PLM: Partial Label Masking for Imbalanced Multi-label Classification—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
Deep Learning for Climate Action: Computer Vision Analysis of Visual Narratives on X—0
Deep learning for classification of noisy QR codes—0
Interpolation between CNNs and ResNets—0
Deep Learning for Apple Diseases: Classification and Identification—0
Interleaving Learning, with Application to Neural Architecture Search—0
IC-Network: Efficient Structure for Convolutional Neural Networks—0
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers—0
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network—0
Interactive Visual Study of Multiple Attributes Learning Model of X-Ray Scattering Images—0
Interactive Knowledge Distillation—0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified