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

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Showing 6751–6800 of 10420 papers

TitleStatusHype
Contrastive Representation Learning for Whole Brain Cytoarchitectonic Mapping in Histological Human Brain Sections—0
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification—0
Naturalizing Neuromorphic Vision Event Streams Using GANs—0
Generalized Resubstitution for Classification Error Estimation—0
NDPNet: A novel non-linear data projection network for few-shot fine-grained image classification—0
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification—0
Aggregated Pyramid Vision Transformer: Split-transform-merge Strategy for Image Recognition without Convolutions—0
Near-Optimal Glimpse Sequences for Improved Hard Attention Neural Network Training—0
OncoPetNet: A Deep Learning based AI system for mitotic figure counting on H&E stained whole slide digital images in a large veterinary diagnostic lab setting—0
Effective Features of Remote Sensing Image Classification Using Interactive Adaptive Thresholding Method—0
Near Real-time Hippocampus Segmentation Using Patch-based Canonical Neural Network—0
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation—0
Causally Focused Convolutional Networks Through Minimal Human Guidance—0
Generalized Max Pooling—0
Effective Mutation Rate Adaptation through Group Elite Selection—0
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification—0
Contrastively Enforcing Distinctiveness for Multi-Label Classification—0
A Survey on Assessing the Generalization Envelope of Deep Neural Networks: Predictive Uncertainty, Out-of-distribution and Adversarial Samples—0
Neighbor Class Consistency on Unsupervised Domain Adaptation—0
Generalized Coverage for More Robust Low-Budget Active Learning—0
Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation—0
Neighborhood Watch: Representation Learning with Local-Margin Triplet Loss and Sampling Strategy for K-Nearest-Neighbor Image Classification—0
Neonatal Pain Expression Recognition Using Transfer Learning—0
NephroNet: A Novel Program for Identifying Renal Cell Carcinoma and Generating Synthetic Training Images with Convolutional Neural Networks and Diffusion Models—0
Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition—0
Nested-TNT: Hierarchical Vision Transformers with Multi-Scale Feature Processing—0
Contrastive Learning to Fine-Tune Feature Extraction Models for the Visual Cortex—0
Towards a Robust Deep Neural Network in Texts: A Survey—0
Aggregated Learning: A Deep Learning Framework Based on Information-Bottleneck Vector Quantization—0
NetScore: Towards Universal Metrics for Large-scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage—0
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learning—0
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness—0
Generalized Boosting—0
Network Augmentation for Tiny Deep Learning—0
Effects of Auxiliary Knowledge on Continual Learning—0
Network of Experts for Large-Scale Image Categorization—0
Generalized BackPropagation, Étude De Cas: Orthogonality—0
Generalized Adaptive Dictionary Learning via Domain Shift Minimization—0
Contrastive Learning of Visual-Semantic Embeddings—0
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data—0
Neural Architecture Adaptation for Object Detection by Searching Channel Dimensions and Mapping Pre-trained Parameters—0
Neural Architecture Design and Robustness: A Dataset—0
A Survey of the Recent Architectures of Deep Convolutional Neural Networks—0
Neural architecture impact on identifying temporally extended Reinforcement Learning tasks—0
Neural Architecture Search by Learning a Hierarchical Search Space—0
Neural Architecture Search for Deep Face Recognition—0
Generalization to translation shifts: a study in architectures and augmentations—0
Generalization Error Analysis of Neural networks with Gradient Based Regularization—0
Generalization Bounds for Convolutional Neural Networks—0
Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency—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