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 17111720 of 10420 papers

TitleStatusHype
Derivative Manipulation for General Example WeightingCode1
POUF: Prompt-oriented unsupervised fine-tuning for large pre-trained modelsCode1
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal MappingCode1
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy LabelsCode1
EGC: Image Generation and Classification via a Diffusion Energy-Based ModelCode1
Eigenspectrum Analysis of Neural Networks without Aspect Ratio BiasCode1
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network CalibrationCode1
Predict then Interpolate: A Simple Algorithm to Learn Stable ClassifiersCode1
A Comprehensive Approach to Unsupervised Embedding Learning based on AND AlgorithmCode1
Age Estimation Using Expectation of Label Distribution LearningCode1
Show:102550
← PrevPage 172 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