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

Showing 44014425 of 10420 papers

TitleStatusHype
Histopathological Image Classification using Discriminative Feature-oriented Dictionary LearningCode0
Food Classification with Convolutional Neural Networks and Multi-Class Linear Discernment AnalysisCode0
Constrained Labeling for Weakly Supervised LearningCode0
Homogeneous Learning: Self-Attention Decentralized Deep LearningCode0
How to Use Dropout Correctly on Residual Networks with Batch NormalizationCode0
I-CEE: Tailoring Explanations of Image Classification Models to User ExpertiseCode0
Improving Fairness in Image Classification via SketchingCode0
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin DynamicsCode0
In-Place Activated BatchNorm for Memory-Optimized Training of DNNsCode0
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and TreeCode0
FooBaR: Fault Fooling Backdoor Attack on Neural Network TrainingCode0
High Definition image classification in Geoscience using Machine LearningCode0
High-fidelity Pseudo-labels for Boosting Weakly-Supervised SegmentationCode0
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature MapsCode0
Hierarchical Representations for Efficient Architecture SearchCode0
Hierarchically Structured Meta-learningCode0
Sequentially Aggregated Convolutional NetworksCode0
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image ClassificationCode0
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical ImagingCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious CorrelationsCode0
Aggregating Deep Convolutional Features for Image RetrievalCode0
HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for ElectroencephalographyCode0
Hiera: A Hierarchical Vision Transformer without the Bells-and-WhistlesCode0
A Biologically Plausible Learning Rule for Deep Learning in the BrainCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified