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 5451–5500 of 10420 papers

TitleStatusHype
Natural & Adversarial Bokeh Rendering via Circle-of-Confusion Predictive Network—0
A comparison of dense region detectors for image search and fine-grained classification—0
​4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection—0
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation—0
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS—0
Effective Version Space Reduction for Convolutional Neural Networks—0
Anomaly Detection And Classification In Time Series With Kervolutional Neural Networks—0
Effective training of deep convolutional neural networks for hyperspectral image classification through artificial labeling—0
Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification—0
Effectiveness of Function Matching in Driving Scene Recognition—0
Cautious Monotonicity in Case-Based Reasoning with Abstract Argumentation—0
Anomaly-Aware Semantic Segmentation by Leveraging Synthetic-Unknown Data—0
Effective Mutation Rate Adaptation through Group Elite Selection—0
Causally Focused Convolutional Networks Through Minimal Human Guidance—0
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations—0
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection—0
Effective, Fast, and Memory-Efficient Compressed Multi-function Convolutional Neural Networks for More Accurate Medical Image Classification—0
Effective Evaluation of Deep Active Learning on Image Classification Tasks—0
Causality-Driven One-Shot Learning for Prostate Cancer Grading from MRI—0
Effective Dimension Aware Fractional-Order Stochastic Gradient Descent for Convex Optimization Problems—0
Effective Data Augmentation with Multi-Domain Learning GANs—0
Predictive Coding beyond Correlations—0
AnoMalNet: Outlier Detection based Malaria Cell Image Classification Method Leveraging Deep Autoencoder—0
A Comparison of Deep Saliency Map Generators on Multispectral Data in Object Detection—0
Effective and Robust Detection of Adversarial Examples via Benford-Fourier Coefficients—0
EffCNet: An Efficient CondenseNet for Image Classification on NXP BlueBox—0
EEG-NeXt: A Modernized ConvNet for The Classification of Cognitive Activity from EEG—0
Causal Analysis for Robust Interpretability of Neural Networks—0
EEG-based Image Feature Extraction for Visual Classification using Deep Learning—0
CA-UDA: Class-Aware Unsupervised Domain Adaptation with Optimal Assignment and Pseudo-Label Refinement—0
Cauchy activation function and XNet—0
Annotation-Free Group Robustness via Loss-Based Resampling—0
Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks—0
Edge Detection and Deep Learning Based SETI Signal Classification Method—0
CAT: Learning to Collaborate Channel and Spatial Attention from Multi-Information Fusion—0
Edge-Cloud Cooperation for DNN Inference via Reinforcement Learning and Supervised Learning—0
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory—0
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks—0
EDDA: Explanation-driven Data Augmentation to Improve Explanation Faithfulness—0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Advancing Multimodal Medical Capabilities of Gemini—0
A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers—0
ECO: Ensembling Context Optimization for Vision-Language Models—0
Category Disentangled Context: Turning Category-irrelevant Features Into Treasures—0
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features—0
SCALES: Boost Binary Neural Network for Image Super-Resolution with Efficient Scalings—0
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN—0
An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models—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