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 12911300 of 10420 papers

TitleStatusHype
Semi-supervised music emotion recognition using noisy student training and harmonic pitch class profilesCode1
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed ClassificationCode1
The Devil is in the Margin: Margin-based Label Smoothing for Network CalibrationCode1
MapReader: A Computer Vision Pipeline for the Semantic Exploration of Maps at ScaleCode1
Sound-Guided Semantic Image ManipulationCode1
Adaptive Token Sampling For Efficient Vision TransformersCode1
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label MiscorrectionCode1
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable PrototypesCode1
ExCon: Explanation-driven Supervised Contrastive Learning for Image ClassificationCode1
TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNsCode1
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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