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 22012210 of 10420 papers

TitleStatusHype
FcaNet: Frequency Channel Attention NetworksCode1
Contrastive Masked Autoencoders are Stronger Vision LearnersCode1
A survey on attention mechanisms for medical applications: are we moving towards better algorithms?Code1
FDFtNet: Facing Off Fake Images using Fake Detection Fine-tuning NetworkCode1
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy LabelsCode1
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox)Code1
Aggregated Residual Transformations for Deep Neural NetworksCode1
Controllable Orthogonalization in Training DNNsCode1
FedDefender: Backdoor Attack Defense in Federated LearningCode1
DetCo: Unsupervised Contrastive Learning for Object DetectionCode1
Show:102550
← PrevPage 221 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