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 5101–5150 of 10420 papers

TitleStatusHype
Rethinking Two Consensuses of the Transferability in Deep Learning—0
ResNet Structure Simplification with the Convolutional Kernel Redundancy Measure—0
GMM-IL: Image Classification using Incrementally Learnt, Independent Probabilistic Models for Small Sample Sizes—0
Soft Labels for Rapid Satellite Object Detection—0
Test-Time Mixup Augmentation for Data and Class-Specific Uncertainty Estimation in Deep Learning Image Classification—0
Pattern Attention Transformer with Doughnut Kernel—0
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification—0
Interpreting Vulnerabilities of Multi-Instance Learning to Adversarial PerturbationsCode0
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think—0
GENNAPE: Towards Generalized Neural Architecture Performance EstimatorsCode0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification—0
Exploiting Category Names for Few-Shot Classification with Vision-Language Models—0
SimCS: Simulation for Domain Incremental Online Continual Segmentation—0
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm—0
Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations—0
Establishment of Neural Networks Robust to Label Noise—0
Entropy-Driven Mixed-Precision Quantization for Deep Network Design—0
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image ClassificationCode0
Learning to Learn: How to Continuously Teach Humans and Machines—0
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity—0
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis—0
SI-GAT: A method based on improved Graph Attention Network for sonar image classification—0
Semantic-Aware Local-Global Vision Transformer—0
A Particle-based Sparse Gaussian Process Optimizer—0
Looking at the posterior: accuracy and uncertainty of neural-network predictions—0
Differentially Private Image Classification from FeaturesCode0
EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational DataCode0
Self-Supervised Learning based on Heat Equation—0
Data Augmentation Vision Transformer for Fine-grained Image Classification—0
AugOp: Inject Transformation into Neural Operator—0
Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision—0
Word-Level Representation From Bytes For Language Modeling—0
Relating Regularization and Generalization through the Intrinsic Dimension of Activations—0
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification—0
Rethinking Implicit Neural Representations for Vision Learners—0
Dynamic Loss For Robust LearningCode0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models—0
Modeling Hierarchical Structural Distance for Unsupervised Domain Adaptation—0
Blind Knowledge Distillation for Robust Image ClassificationCode0
Neural Dependencies Emerging from Learning Massive Categories—0
Multi-Spectral Image Classification with Ultra-Lean Complex-Valued Models—0
Feature Weaken: Vicinal Data Augmentation for Classification—0
Learning to Generate Image Embeddings with User-level Differential Privacy—0
Frozen Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks—0
An Algorithm for Routing Vectors in Sequences—0
R2-MLP: Round-Roll MLP for Multi-View 3D Object RecognitionCode0
Non-Coherent Over-the-Air Decentralized Gradient Descent—0
Personalized Federated Learning with Hidden Information on Personalized Prior—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