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 18711880 of 10420 papers

TitleStatusHype
A fuzzy distance-based ensemble of deep models for cervical cancer detectionCode1
Deep Subdomain Adaptation Network for Image ClassificationCode1
Curriculum Temperature for Knowledge DistillationCode1
UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue SegmentationCode1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
ClusterFormer: Clustering As A Universal Visual LearnerCode1
Scaling Vision with Sparse Mixture of ExpertsCode1
Scheduled Restart Momentum for Accelerated Stochastic Gradient DescentCode1
Deep Roto-Translation Scattering for Object ClassificationCode1
Co^2L: Contrastive Continual LearningCode1
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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