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 39713980 of 10420 papers

TitleStatusHype
Multi-frequency PolSAR Image Fusion Classification Based on Semantic Interactive Information and Topological Structure0
Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G0
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
Label Structure Preserving Contrastive Embedding for Multi-Label Learning with Missing LabelsCode0
Class-Specific Channel Attention for Few-Shot Learning0
Vision Transformers and YoloV5 based Driver Drowsiness Detection Framework0
Impact of Colour Variation on Robustness of Deep Neural Networks0
Impact of Scaled Image on Robustness of Deep Neural Networks0
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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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified