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 5951–5975 of 10420 papers

TitleStatusHype
Backpropagation Neural TreeCode0
Best Practices and Scoring System on Reviewing A.I. based Medical Imaging Papers: Part 1 Classification—0
FORML: Learning to Reweight Data for Fairness—0
Federated Active Learning (F-AL): an Efficient Annotation Strategy for Federated Learning—0
Classification of Skin Cancer Images using Convolutional Neural Networks—0
Access Control of Object Detection Models Using Encrypted Feature Maps—0
Adversarial Robustness in Deep Learning: Attacks on Fragile Neurons—0
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural NetworksCode0
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy—0
Volley Revolver: A Novel Matrix-Encoding Method for Privacy-Preserving Neural Networks (Inference)Code0
Image Classification using Graph Neural Network and Multiscale Wavelet Superpixels—0
Towards Robust Deep Active Learning for Scientific Computing—0
Low-rank features based double transformation matrices learning for image classification—0
Calibrating Histopathology Image Classifiers using Label Smoothing—0
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
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
Feature transforms for image data augmentationCode0
Mutual Attention-based Hybrid Dimensional Network for Multimodal Imaging Computer-aided Diagnosis—0
Importance of Preprocessing in Histopathology Image Classification Using Deep Convolutional Neural Network—0
Wavelet-Attention CNN for Image Classification—0
Learning to Minimize the Remainder in Supervised LearningCode0
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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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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