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 5351–5375 of 10420 papers

TitleStatusHype
Learning from Exemplary Explanations—0
Introduction to Camera Pose Estimation with Deep Learning—0
Introspection for convolutional automatic speech recognition—0
Hierarchical Gaussian Descriptors with Application to Person Re-Identification—0
Intrusion Detection: Machine Learning Baseline Calculations for Image Classification—0
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification—0
Deep Learning in the Automotive Industry: Applications and Tools—0
Invariance-Guided Feature Evolution for Few-Shot Learning—0
Attention Regularized Laplace Graph for Domain Adaptation—0
Invariance vs Robustness of Neural Networks—0
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification—0
Deep Learning Mixture-of-Experts Approach for Cytotoxic Edema Assessment in Infants and Children—0
Hierarchical Gaussian Descriptor for Person Re-Identification—0
Invariant Learning via Diffusion Dreamed Distribution Shifts—0
Hierarchical Expert Networks for Meta-Learning—0
AIP: Adversarial Iterative Pruning Based on Knowledge Transfer for Convolutional Neural Networks—0
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images—0
Invariant Scattering Transform for Medical Imaging—0
Deep Learning Representation using Autoencoder for 3D Shape Retrieval—0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Hierarchical Adaptive Structural SVM for Domain Adaptation—0
Inverting The Generator Of A Generative Adversarial Network—0
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification—0
Hide & Seek: Transformer Symmetries Obscure Sharpness & Riemannian Geometry Finds It—0
Cross-label Suppression: A Discriminative and Fast Dictionary Learning with Group Regularization—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