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 11011110 of 10420 papers

TitleStatusHype
Vision Transformers in 2022: An Update on Tiny ImageNetCode1
Towards Better Understanding Attribution MethodsCode1
Masked Image Modeling with Denoising ContrastCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
EXACT: How to Train Your AccuracyCode1
A graph-transformer for whole slide image classificationCode1
An Empirical Investigation of Representation Learning for ImitationCode1
Leveraging Uncertainty for Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology ImagesCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task SamplingCode1
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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