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 6826–6850 of 10420 papers

TitleStatusHype
Deep Features for training Support Vector Machine—0
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
Quantum Enhanced Filter: QFilter—0
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and RegressionCode0
Streaming Self-Training via Domain-Agnostic Unlabeled Images—0
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks—0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—0
Classification with Runge-Kutta networks and feature space augmentationCode0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
Explainability-aided Domain Generalization for Image Classification—0
Towards Self-Adaptive Metric Learning On the Fly—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty CalibrationCode0
LiftPool: Bidirectional ConvNet Pooling—0
Estimating the Generalization in Deep Neural Networks via Sparsity—0
Defending Against Image Corruptions Through Adversarial Augmentations—0
Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD—0
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural NetworkCode0
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study—0
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study—0
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
Spectral decoupling allows training transferable neural networks in medical imaging—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—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
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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified