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 921930 of 10420 papers

TitleStatusHype
Adversarial Examples in Deep Learning for Multivariate Time Series RegressionCode1
From Association to Generation: Text-only Captioning by Unsupervised Cross-modal MappingCode1
A Comprehensive Survey on Graph Neural NetworksCode1
From Pixel to Patch: Synthesize Context-aware Features for Zero-shot Semantic SegmentationCode1
Collaborative Transformers for Grounded Situation RecognitionCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
Can We Talk Models Into Seeing the World Differently?Code1
Co-Correcting: Noise-tolerant Medical Image Classification via mutual Label CorrectionCode1
GAN-based Priors for Quantifying UncertaintyCode1
Combating Label Noise in Deep Learning Using AbstentionCode1
Show:102550
← PrevPage 93 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