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 53765400 of 10420 papers

TitleStatusHype
On the Transferability of Adversarial Examples between Encrypted Models0
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification0
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification0
TransCAB: Transferable Clean-Annotation Backdoor to Object Detection with Natural Trigger in Real-WorldCode0
ViTKD: Practical Guidelines for ViT feature knowledge distillation0
Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G0
Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure0
Imaging with Equivariant Deep Learning0
Consistency-Based Semi-supervised Evidential Active Learning for Diagnostic Radiograph Classification0
Single-source Domain Expansion Network for Cross-Scene Hyperspectral Image Classification0
Class-Specific Channel Attention for Few-Shot Learning0
Vision Transformers and YoloV5 based Driver Drowsiness Detection Framework0
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing LabelsCode0
BinImg2Vec: Augmenting Malware Binary Image Classification with Data2Vec0
Impact of Scaled Image on Robustness of Deep Neural Networks0
Impact of Colour Variation on Robustness of Deep Neural Networks0
Fast Fourier Convolution Based Remote Sensor Image Object Detection for Earth Observation0
Combating Noisy Labels in Long-Tailed Image Classification0
To Store or Not? Online Data Selection for Federated Learning with Limited Storage0
Learning with Differentiable Algorithms0
ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image ClassificationCode0
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors0
Mayfly optimization with deep learning enabled retinal fundus image classification model0
Ontology of Visual Objects0
Transfering Low-Frequency Features for Domain Adaptation0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified