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 35213530 of 10420 papers

TitleStatusHype
Rethinking Label Smoothing on Multi-hop Question AnsweringCode0
Improving Pre-Trained Weights Through Meta-Heuristics Fine-TuningCode0
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain GeneralizationCode1
A Framework for Generalizing Critical Heat Flux Detection Models Using Unsupervised Image-to-Image Translation0
Scattering-induced entropy boost for highly-compressed optical sensing and encryption0
Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management0
Instance-dependent Label Distribution Estimation for Learning with Label NoiseCode0
Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image ClassificationCode0
Convolution-enhanced Evolving Attention NetworksCode1
From Xception to NEXcepTion: New Design Decisions and Neural Architecture SearchCode0
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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