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 10511060 of 10420 papers

TitleStatusHype
RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid NetworkCode1
Compressing Features for Learning with Noisy LabelsCode1
Self-supervised Learning in Remote Sensing: A ReviewCode1
Thermodynamics-inspired Explanations of Artificial IntelligenceCode1
Kernel Attention Transformer (KAT) for Histopathology Whole Slide Image ClassificationCode1
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight ImportanceCode1
Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D SpaceCode1
Toward Clinically Assisted Colorectal Polyp Recognition via Structured Cross-modal Representation ConsistencyCode1
Feature Re-calibration based Multiple Instance Learning for Whole Slide Image ClassificationCode1
How to Combine Variational Bayesian Networks in Federated LearningCode1
Show:102550
← PrevPage 106 of 1042Next →

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