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 5651–5700 of 10420 papers

TitleStatusHype
A High-Performance Adaptive Quantization Approach for Edge CNN Applications—0
PICASO: Permutation-Invariant Cascaded Attentional Set OperatorCode0
A Comparative Study of Deep Learning Classification Methods on a Small Environmental Microorganism Image Dataset (EMDS-6): from Convolutional Neural Networks to Visual Transformers—0
Rectifying the Shortcut Learning of Background for Few-Shot LearningCode1
An Efficient and Small Convolutional Neural Network for Pest Recognition -- ExquisiteNet—0
Compact and Optimal Deep Learning with Recurrent Parameter GeneratorsCode0
A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical CytologyCode1
Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale TasksCode1
Training Compact CNNs for Image Classification using Dynamic-coded Filter FusionCode1
Visual Parser: Representing Part-whole Hierarchies with TransformersCode1
Cats, not CAT scans: a study of dataset similarity in transfer learning for 2D medical image classificationCode0
Automated Learning Rate Scheduler for Large-batch TrainingCode1
Improvement of image classification by multiple optical scattering—0
Interpretable Mammographic Image Classification using Case-Based Reasoning and Deep Learning—0
Contrast R-CNN for Continual Learning in Object Detection—0
Learning from Crowds with Sparse and Imbalanced Annotations—0
Detection of Plant Leaf Disease Directly in the JPEG Compressed Domain using Transfer Learning Technique—0
Local-to-Global Self-Attention in Vision TransformersCode0
Semi-Supervised Learning with Multi-Head Co-TrainingCode1
Towards Robust General Medical Image SegmentationCode0
Local semantic enhanced convnet for aerial scene recognitionCode0
Fuzzy Rank-based Fusion of CNN Models using Gompertz Function for Screening COVID-19 CT-ScansCode0
Collaboration of Experts: Achieving 80% Top-1 Accuracy on ImageNet with 100M FLOPs—0
Exploiting the relationship between visual and textual features in social networks for image classification with zero-shot deep learning—0
Federated Model Search via Reinforcement Learning—0
Federated Learning with Downlink Device Selection—0
SpectralFormer: Rethinking Hyperspectral Image Classification with TransformersCode1
Categorical Relation-Preserving Contrastive Knowledge Distillation for Medical Image ClassificationCode1
Introducing the structural bases of typicality effects in deep learning—0
Understanding Intrinsic Robustness Using Label UncertaintyCode0
GLiT: Neural Architecture Search for Global and Local Image TransformerCode1
Generalization Error Analysis of Neural networks with Gradient Based Regularization—0
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation—0
Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-specific Atlas Maps—0
Confidence-based Out-of-Distribution Detection: A Comparative Study and AnalysisCode0
Vision Xformers: Efficient Attention for Image ClassificationCode1
Continual Contrastive Learning for Image ClassificationCode0
Exact Backpropagation in Binary Weighted Networks with Group Weight TransformationsCode0
Learning Debiased Representation via Disentangled Feature AugmentationCode1
Neural Network Layer Algebra: A Framework to Measure Capacity and Compression in Deep Learning—0
MMF: Multi-Task Multi-Structure Fusion for Hierarchical Image Classification—0
Hybrid Supervision Learning for Pathology Whole Slide Image ClassificationCode1
Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale EmbeddingsCode0
On Bridging Generic and Personalized Federated Learning for Image ClassificationCode1
Overhead-MNIST: Machine Learning Baselines for Image Classification—0
Towards Measuring Bias in Image Classification—0
SIMILAR: Submodular Information Measures Based Active Learning In Realistic ScenariosCode1
On the Practicality of Deterministic Epistemic UncertaintyCode0
AutoFormer: Searching Transformers for Visual RecognitionCode2
CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped WindowsCode1
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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