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 27112720 of 10420 papers

TitleStatusHype
Benchmarking Test-Time Adaptation against Distribution Shifts in Image ClassificationCode1
Revisiting Computer-Aided Tuberculosis DiagnosisCode1
Multi-Scale U-Shape MLP for Hyperspectral Image Classification0
UX Heuristics and Checklist for Deep Learning powered Mobile Applications with Image Classification0
Make A Long Image Short: Adaptive Token Length for Vision Transformers0
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact0
Multi-Scale Prototypical Transformer for Whole Slide Image Classification0
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis0
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You NeedCode1
A Neural Collapse Perspective on Feature Evolution in Graph Neural NetworksCode0
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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
10RevCol-HTop 1 Accuracy90Unverified