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 9601–9625 of 10420 papers

TitleStatusHype
Humble your Overconfident Networks: Unlearning Overfitting via Sequential Monte Carlo Tempered Deep Ensembles—0
Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks—0
Hybrid BYOL-ViT: Efficient approach to deal with small datasets—0
Hybrid Classical-Quantum architecture for vectorised image classification of hand-written sketches—0
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Hybrid CNN Bi-LSTM neural network for Hyperspectral image classification—0
Hybrid Deep Learning Framework for Classification of Kidney CT Images: Diagnosis of Stones, Cysts, and Tumors—0
Hybrid Feature Collaborative Reconstruction Network for Few-Shot Fine-Grained Image Classification—0
Hybrid multi-layer Deep CNN/Aggregator feature for image classification—0
HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning—0
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Probe and Learn Neural Networks—0
Hybrid quantum-classical convolutional neural network for phytoplankton classification—0
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis—0
Hybrid quantum transfer learning for crack image classification on NISQ hardware—0
Hybrid Quantum Vision Transformers for Event Classification in High Energy Physics—0
HydraMix: Multi-Image Feature Mixing for Small Data Image Classification—0
HydraNets: Specialized Dynamic Architectures for Efficient Inference—0
HydroVision: LiDAR-Guided Hydrometric Prediction with Vision Transformers and Hybrid Graph Learning—0
Hyperbolic Convolutional Neural Networks—0
Hyperbolic Dual Feature Augmentation for Open-Environment—0
Hyperbolic Geometry in Computer Vision: A Survey—0
HyperCam: Low-Power Onboard Computer Vision for IoT Cameras—0
Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification—0
Hypergraph Vision Transformers: Images are More than Nodes, More than Edges—0
HyperKon: A Self-Supervised Contrastive Network for Hyperspectral Image Analysis—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