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 711720 of 10419 papers

TitleStatusHype
Adaptive Split-Fusion TransformerCode1
DataMUX: Data Multiplexing for Neural NetworksCode1
DeepVoxNet2: Yet another CNN frameworkCode1
CLCNet: Rethinking of Ensemble Modeling with Classification Confidence NetworkCode1
DCN-T: Dual Context Network with Transformer for Hyperspectral Image ClassificationCode1
DCT-CryptoNets: Scaling Private Inference in the Frequency DomainCode1
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual ExplanationsCode1
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing AttentionCode1
CLCC: Contrastive Learning for Color ConstancyCode1
Clean-Label Backdoor Attacks on Video Recognition ModelsCode1
Show:102550
← PrevPage 72 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