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 9601–9650 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
HyperNetworks with statistical filtering for defending adversarial examples—0
Towards Robust Deep Active Learning for Scientific Computing—0
Hyperparameter Optimization and Boosting for Classifying Facial Expressions: How good can a "Null" Model be?—0
Hybrid quantum ResNet for car classification and its hyperparameter optimization—0
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios—0
HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing—0
Hyperspectral Image Classification and Clutter Detection via Multiple Structural Embeddings and Dimension Reductions—0
Hyperspectral Image Classification Based on Adaptive Sparse Deep Network—0
Hyperspectral Images Classification Based on Multi-scale Residual Network—0
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks—0
Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network—0
Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion—0
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples—0
Hyperspectral image classification using spectral-spatial LSTMs—0
Hyperspectral Image Classification with Support Vector Machines on Kernel Distribution Embeddings—0
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network—0
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network—0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field—0
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis—0
Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution—0
Hyperspherical embedding for novel class classification—0
Hyperspherical Loss-Aware Ternary Quantization—0
HyperSTAR: Task-Aware Hyperparameters for Deep Networks—0
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems—0
HYPPO: A Surrogate-Based Multi-Level Parallelism Tool for Hyperparameter Optimization—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