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 31213130 of 10420 papers

TitleStatusHype
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature ForgettingCode0
Personalized Federated Learning with Local Attention0
Resolution-Invariant Image Classification based on Fourier Neural OperatorsCode0
Multimodal Hyperspectral Image Classification via Interconnected Fusion0
CNNs with Multi-Level Attention for Domain Generalization0
Parents and Children: Distinguishing Multimodal DeepFakes from Natural ImagesCode1
Video Pretraining Advances 3D Deep Learning on Chest CT TasksCode1
ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification0
Predictive Heterogeneity: Measures and Applications0
Vision Transformers with Mixed-Resolution TokenizationCode1
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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
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
10RevCol-HTop 1 Accuracy90Unverified