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

Showing 86518675 of 10420 papers

TitleStatusHype
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail RecognitionCode0
Adaptive Stochastic Weight AveragingCode0
Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture SearchCode0
Harnessing the Power of Infinitely Wide Deep Nets on Small-data TasksCode0
Effectiveness of Optimization Algorithms in Deep Image ClassificationCode0
An adversarial attack approach for eXplainable AI evaluation on deepfake detection modelsCode0
An Evasion Attack against Stacked Capsule AutoencoderCode0
An Adaptive Method Stabilizing Activations for Enhanced GeneralizationCode0
Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network WatermarkingCode0
An accurate detection is not all you need to combat label noise in web-noisy datasetsCode0
HaSPeR: An Image Repository for Hand Shadow Puppet RecognitionCode0
Effective Model Sparsification by Scheduled Grow-and-Prune MethodsCode0
Memory-Modular Classification: Learning to Generalize with Memory ReplacementCode0
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual RecognitionCode0
Memory Wrap: a Data-Efficient and Interpretable Extension to Image Classification ModelsCode0
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted LabelsCode0
HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationCode0
EEG-ImageNet: An Electroencephalogram Dataset and Benchmarks with Image Visual Stimuli of Multi-Granularity LabelsCode0
Edge-labeling Graph Neural Network for Few-shot LearningCode0
MergedNET: A simple approach for one-shot learning in siamese networks based on similarity layersCode0
Continual Adaptation of Vision Transformers for Federated LearningCode0
Connectivity-Inspired Network for Context-Aware RecognitionCode0
Connection Reduction of DenseNet for Image RecognitionCode0
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical ImagesCode0
Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover ClassificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified