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 7026–7050 of 10420 papers

TitleStatusHype
Riemannian Manifold Optimization for Discriminant Subspace Learning—0
Initialization Using Perlin Noise for Training Networks with a Limited Amount of Data—0
Dissonance Between Human and Machine Understanding—0
What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space—0
Machine learning with limited data—0
Benchmarking Perturbation-based Saliency Maps for Explaining Atari AgentsCode0
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains—0
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks—0
Should Ensemble Members Be Calibrated?—0
Advancing Eosinophilic Esophagitis Diagnosis and Phenotype Assessment with Deep Learning Computer Vision—0
Deep learning based prediction of Alzheimer's disease from magnetic resonance images—0
3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image ClassificationCode0
Explaining the Black-box Smoothly- A Counterfactual Approach—0
Spherical Transformer: Adapting Spherical Signal to CNNs—0
Resolution-Based Distillation for Efficient Histology Image Classification—0
Lesion2Vec: Deep Metric Learning for Few-Shot Multiple Lesions Recognition in Wireless Capsule Endoscopy Video—0
Combining pretrained CNN feature extractors to enhance clustering of complex natural images—0
Who's a Good Boy? Reinforcing Canine Behavior in Real-Time using Machine LearningCode0
Practical Evaluation of Out-of-Distribution Detection Methods for Image Classification—0
Contextual Classification Using Self-Supervised Auxiliary Models for Deep Neural NetworksCode0
LightLayers: Parameter Efficient Dense and Convolutional Layers for Image ClassificationCode0
Self Supervision for Attention NetworksCode0
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks—0
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann MachinesCode0
Recommending Accurate and Diverse Items Using Bilateral Branch Network—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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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