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 39914000 of 10420 papers

TitleStatusHype
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results0
Transfering Low-Frequency Features for Domain Adaptation0
Robustness and invariance properties of image classifiers0
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised LearningCode0
Video-based Cross-modal Auxiliary Network for Multimodal Sentiment AnalysisCode0
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks0
PanorAMS: Automatic Annotation for Detecting Objects in Urban Context0
Probing Contextual Diversity for Dense Out-of-Distribution DetectionCode0
Weakly Supervised Faster-RCNN+FPN to classify animals in camera trap images0
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark StudyCode1
Show:102550
← PrevPage 400 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