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 36013610 of 10420 papers

TitleStatusHype
Pattern Attention Transformer with Doughnut Kernel0
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think0
AIO-P: Expanding Neural Performance Predictors Beyond Image ClassificationCode1
GENNAPE: Towards Generalized Neural Architecture Performance EstimatorsCode0
Exploiting Category Names for Few-Shot Classification with Vision-Language Models0
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification0
SimCS: Simulation for Domain Incremental Online Continual Segmentation0
Impact of Automatic Image Classification and Blind Deconvolution in Improving Text Detection Performance of the CRAFT Algorithm0
Curriculum Temperature for Knowledge DistillationCode1
Entropy-Driven Mixed-Precision Quantization for Deep Network Design0
Show:102550
← PrevPage 361 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
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90Unverified