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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 4851–4875 of 10420 papers

TitleStatusHype
Calibrating Histopathology Image Classifiers using Label Smoothing—0
Low-rank features based double transformation matrices learning for image classification—0
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
A Systematic Study of Bias AmplificationCode0
Language-biased image classification: evaluation based on semantic representationsCode0
A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual AttributesCode0
IMACS: Image Model Attribution Comparison Summaries—0
Speeding up Heterogeneous Federated Learning with Sequentially Trained SuperclientsCode1
When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention MechanismCode2
Supervised learning of sheared distributions using linearized optimal transport—0
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video—0
Convolutional Xformers for VisionCode1
Sphere2Vec: Multi-Scale Representation Learning over a Spherical Surface for Geospatial PredictionsCode1
Feature transforms for image data augmentationCode0
UniFormer: Unifying Convolution and Self-attention for Visual RecognitionCode2
Transformers in Medical Imaging: A SurveyCode3
Patches Are All You Need?Code3
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network—0
Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis—0
Learning to Minimize the Remainder in Supervised LearningCode0
Revisiting Global Pooling through the Lens of Optimal TransportCode1
Wavelet-Attention CNN for Image Classification—0
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer—0
Investigating the Potential of Auxiliary-Classifier GANs for Image Classification in Low Data Regimes—0
Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified