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

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Showing 5001–5050 of 10420 papers

TitleStatusHype
EXPLAINABLE AI-BASED DYNAMIC FILTER PRUNING OF CONVOLUTIONAL NEURAL NETWORKS—0
Explainable 3D Convolutional Neural Networks by Learning Temporal Transformations—0
Explainability and Robustness of Deep Visual Classification Models—0
Explainability-aided Domain Generalization for Image Classification—0
Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs—0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning—0
Expert-Like Reparameterization of Heterogeneous Pyramid Receptive Fields in Efficient CNNs for Fair Medical Image Classification—0
Approximately Equivariant Quantum Neural Network for p4m Group Symmetries in Images—0
Adversarially Robust Generalization Requires More Data—0
A Computational Account Of Self-Supervised Visual Learning From Egocentric Object Play—0
Experimental Observations of the Topology of Convolutional Neural Network Activations—0
clustering an african hairstyle dataset using pca and k-means—0
Cluster-Guided Semi-Supervised Domain Adaptation for Imbalanced Medical Image Classification—0
Approximate Log-Hilbert-Schmidt Distances Between Covariance Operators for Image Classification—0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks—0
Expanding Training Data for Endoscopic Phenotyping of Eosinophilic Esophagitis—0
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer—0
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification—0
Exemplar SVMs as Visual Feature Encoders—0
Exemplar-free Online Continual Learning—0
Exemplar Based Deep Discriminative and Shareable Feature Learning for Scene Image Classification—0
Cluster-CAM: Cluster-Weighted Visual Interpretation of CNNs' Decision in Image Classification—0
Approximated Prompt Tuning for Vision-Language Pre-trained Models—0
Example-Based Explainable AI and its Application for Remote Sensing Image Classification—0
Examining the Proximity of Adversarial Examples to Class Manifolds in Deep Networks—0
Examining convolutional feature extraction using Maximum Entropy (ME) and Signal-to-Noise Ratio (SNR) for image classification—0
Conditional Classification: A Solution for Computational Energy Reduction—0
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks—0
Utilizing Dependence among Variables in Evolutionary Algorithms for Mixed-Integer Programming: A Case Study on Multi-Objective Constrained Portfolio Optimization—0
A 4D Light-Field Dataset and CNN Architectures for Material Recognition—0
EWasteNet: A Two-Stream Data Efficient Image Transformer Approach for E-Waste Classification—0
Evo-NAS: Evolutionary-Neural Hybrid Agent for Architecture Search—0
Evolving parametrized Loss for Image Classification Learning on Small Datasets—0
Evolving Efficient CNN Based Model for Image Classification—0
Evolving Deep Convolutional Neural Networks by Variable-length Particle Swarm Optimization for Image Classification—0
Adversarial Incremental Learning—0
Evolving Character-Level DenseNet Architectures using Genetic Programming—0
Cloud-based Image Classification Service Is Not Robust To Simple Transformations: A Forgotten Battlefield—0
Evolved Part Masking for Self-Supervised Learning—0
Cloud Adversarial Example Generation for Remote Sensing Image Classification—0
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy—0
Evolved Explainable Classifications for Lymph Node Metastases—0
Evolution of active categorical image classification via saccadic eye movement—0
Evolution of Activation Functions for Deep Learning-Based Image Classification—0
Evolution-aware VAriance (EVA) Coreset Selection for Medical Image Classification—0
Close Yet Distinctive Domain Adaptation—0
Applying Transfer Learning To Deep Learned Models For EEG Analysis—0
A Comprehensive Survey on Model Quantization for Deep Neural Networks in Image Classification—0
Evolutionary Synthesis of Deep Neural Networks via Synaptic Cluster-driven Genetic Encoding—0
Evolutionary-Neural Hybrid Agents for Architecture Search—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