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 22212230 of 10420 papers

TitleStatusHype
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification0
Enhancing Instance-Level Image Classification with Set-Level Labels0
A Coefficient Makes SVRG EffectiveCode0
Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods0
GeoTop: Advancing Image Classification with Geometric-Topological Analysis0
Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks0
SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image ClassificationCode1
OmniVec: Learning robust representations with cross modal sharing0
Improving the Effectiveness of Deep Generative Data0
Meta-Adapter: An Online Few-shot Learner for Vision-Language ModelCode1
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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