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 471480 of 10419 papers

TitleStatusHype
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised LearningCode1
Curriculum Temperature for Knowledge DistillationCode1
CvT: Introducing Convolutions to Vision TransformersCode1
CycleMLP: A MLP-like Architecture for Dense PredictionCode1
A graph-transformer for whole slide image classificationCode1
Class-Balanced Loss Based on Effective Number of SamplesCode1
AASAE: Augmentation-Augmented Stochastic AutoencodersCode1
DAM: Dynamic Adapter Merging for Continual Video QA LearningCode1
Class-Difficulty Based Methods for Long-Tailed Visual RecognitionCode1
Class-Balanced Active Learning for Image ClassificationCode1
Show:102550
← PrevPage 48 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