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 2951–3000 of 10419 papers

TitleStatusHype
Spatial-Temporal Search for Spiking Neural Networks—0
A Combinatorial Approach to Neural Emergent Communication—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—0
New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture—0
Deep Learning for Active Region Classification: A Systematic Study from Convolutional Neural Networks to Vision Transformers—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Enhancing Multimodal Medical Image Classification using Cross-Graph Modal Contrastive LearningCode0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—0
KANICE: Kolmogorov-Arnold Networks with Interactive Convolutional ElementsCode0
Benchmarking Large Language Models for Image Classification of Marine MammalsCode0
Altogether: Image Captioning via Re-aligning Alt-text—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
Efficient Neural Network Training via Subset Pretraining—0
P-YOLOv8: Efficient and Accurate Real-Time Detection of Distracted Driving—0
Bayesian Concept Bottleneck Models with LLM PriorsCode0
Visual Representation Learning Guided By Multi-modal Prior Knowledge—0
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal EndoscopyCode0
ViMoE: An Empirical Study of Designing Vision Mixture-of-Experts—0
Open-vocabulary vs. Closed-set: Best Practice for Few-shot Object Detection Considering Text DescribabilityCode0
Visual Navigation of Digital Libraries: Retrieval and Classification of Images in the National Library of Norway's Digitised Book CollectionCode0
Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation—0
Comparative Evaluation of Clustered Federated Learning MethodsCode0
On the Influence of Shape, Texture and Color for Learning Semantic Segmentation—0
How Do Training Methods Influence the Utilization of Vision Models?Code0
A Hybrid Feature Fusion Deep Learning Framework for Leukemia Cancer Detection in Microscopic Blood Sample Using Gated Recurrent Unit and Uncertainty Quantification—0
LoLDU: Low-Rank Adaptation via Lower-Diag-Upper Decomposition for Parameter-Efficient Fine-TuningCode0
Performance of Gaussian Mixture Model Classifiers on Embedded Feature SpacesCode0
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"Code0
Augmentation Policy Generation for Image Classification Using Large Language Models—0
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look—0
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network—0
Efficiera Residual Networks: Hardware-Friendly Fully Binary Weight with 2-bit Activation Model Achieves Practical ImageNet AccuracyCode0
Ensemble of ConvNeXt V2 and MaxViT for Long-Tailed CXR Classification with View-Based AggregationCode0
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models?—0
SkillAggregation: Reference-free LLM-Dependent Aggregation—0
SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep ModelsCode0
big.LITTLE Vision Transformer for Efficient Visual Recognition—0
Enhancing JEPAs with Spatial Conditioning: Robust and Efficient Representation Learning—0
Towards Better Multi-head Attention via Channel-wise Sample PermutationCode0
Towards a More Complete Theory of Function Preserving Transforms—0
Understanding Robustness of Parameter-Efficient Tuning for Image ClassificationCode0
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning—0
EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis—0
Diabetic retinopathy image classification method based on GreenBen data augmentation—0
Deep Transfer Learning: Model Framework and Error Analysis—0
Efficient Hyperparameter Importance Assessment for CNNs—0
Accelerated Distributed Stochastic Non-Convex Optimization over Time-Varying Directed Networks—0
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP—0
Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images—0
What is Left After Distillation? How Knowledge Transfer Impacts Fairness and Bias—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