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 2201–2250 of 10419 papers

TitleStatusHype
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images—0
Human-in-the-loop: Towards Label Embeddings for Measuring Classification DifficultyCode0
Robust Brain MRI Image Classification with SIBOW-SVM—0
Domain Aligned CLIP for Few-shot Classification—0
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption—0
Review of AlexNet for Medical Image Classification—0
Test-Time Training for Semantic Segmentation with Output Contrastive LossCode0
Joint Source-Channel Coding for Channel-Adaptive Digital Semantic Communications—0
Dual-channel Prototype Network for few-shot Classification of Pathological Images—0
Performance of Machine Learning Classification in Mammography Images using BI-RADS—0
PadChannel: Improving CNN Performance through Explicit Padding EncodingCode0
ActiveDC: Distribution Calibration for Active Finetuning—0
Learning Symmetrization for Equivariance with Orbit Distance MinimizationCode0
Optimising Human-AI Collaboration by Learning Convincing Explanations—0
Attention-Challenging Multiple Instance Learning for Whole Slide Image ClassificationCode1
Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical ImagesCode0
Two Stream Scene Understanding on Graph Embedding—0
Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image ClassificationCode1
Image Classification using Combination of Topological Features and Neural Networks—0
Deep Fast Vision: A Python Library for Accelerated Deep Transfer Learning Vision PrototypingCode1
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification—0
Intelligent Cervical Spine Fracture Detection Using Deep Learning Methods—0
A Coefficient Makes SVRG EffectiveCode0
Enhancing Instance-Level Image Classification with Set-Level Labels—0
GeoTop: Advancing Image Classification with Geometric-Topological Analysis—0
Towards Few-Annotation Learning in Computer Vision: Application to Image Classification and Object Detection tasks—0
SS-MAE: Spatial-Spectral Masked Auto-Encoder for Multi-Source Remote Sensing Image ClassificationCode1
OmniVec: Learning robust representations with cross modal sharing—0
Improving the Effectiveness of Deep Generative Data—0
Meta-Adapter: An Online Few-shot Learner for Vision-Language ModelCode1
A Simple Interpretable Transformer for Fine-Grained Image Classification and AnalysisCode1
Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review—0
Stacked Autoencoder Based Feature Extraction and Superpixel Generation for Multifrequency PolSAR Image Classification—0
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values—0
Asymmetric Masked Distillation for Pre-Training Small Foundation ModelsCode0
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification—0
GTP-ViT: Efficient Vision Transformers via Graph-based Token PropagationCode1
Benchmarking a Benchmark: How Reliable is MS-COCO?—0
Hybrid quantum image classification and federated learning for hepatic steatosis diagnosis—0
From Trojan Horses to Castle Walls: Unveiling Bilateral Data Poisoning Effects in Diffusion ModelsCode0
Thermal Face Image Classification using Deep Learning Techniques—0
Continual Learning of Unsupervised Monocular Depth from VideosCode0
Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification—0
Distilling Out-of-Distribution Robustness from Vision-Language Foundation ModelsCode1
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks—0
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR EmbeddingsCode0
InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV ImagesCode1
Re-weighting Tokens: A Simple and Effective Active Learning Strategy for Named Entity Recognition—0
Attention based Dual-Branch Complex Feature Fusion Network for Hyperspectral Image ClassificationCode1
Scattering Vision Transformer: Spectral Mixing Matters—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