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 621630 of 10419 papers

TitleStatusHype
Attention-Based Second-Order Pooling Network for Hyperspectral Image ClassificationCode1
Danish Fungi 2020 -- Not Just Another Image Recognition DatasetCode1
DC3DCD: unsupervised learning for multiclass 3D point cloud change detectionCode1
Curriculum Temperature for Knowledge DistillationCode1
Asymmetric Polynomial Loss For Multi-Label ClassificationCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
Curriculum By SmoothingCode1
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised LearningCode1
CvT: Introducing Convolutions to Vision TransformersCode1
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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