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 8976–9000 of 10420 papers

TitleStatusHype
Evaluation of Deep Learning on an Abstract Image Classification Dataset—0
Fidelity of Interpretability Methods and Perturbation Artifacts in Neural Networks—0
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
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications—0
Event-Based Control for Online Training of Neural Networks—0
Evidence-empowered Transfer Learning for Alzheimer's Disease—0
Evidential Federated Learning for Skin Lesion Image Classification—0
EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion—0
Evolutionary Cell Aided Design for Neural Network Architectures—0
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction—0
Evolutionary Neural Architecture Search for Image Restoration—0
Evolutionary-Neural Hybrid Agents for Architecture Search—0
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding—0
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification—0
Evolution of Activation Functions for Deep Learning-Based Image Classification—0
Evolution of active categorical image classification via saccadic eye movement—0
Evolved Explainable Classifications for Lymph Node Metastases—0
Evolved Part Masking for Self-Supervised Learning—0
Evolving Character-Level DenseNet Architectures using Genetic Programming—0
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification—0
Evolving Efficient CNN Based Model for Image Classification—0
Evolving parametrized Loss for Image Classification Learning on Small Datasets—0
Evo-NAS: Evolutionary-Neural Hybrid Agent for Architecture Search—0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image 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
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