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 751–800 of 10419 papers

TitleStatusHype
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language ModelsCode1
ADOPT: Modified Adam Can Converge with Any β_2 with the Optimal RateCode3
Domain Expansion and Boundary Growth for Open-Set Single-Source Domain Generalization—0
Judge Like a Real Doctor: Dual Teacher Sample Consistency Framework for Semi-supervised Medical Image Classification—0
TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives—0
FUSECAPS: Investigating Feature Fusion Based Framework for Capsule Endoscopy Image Classification—0
Exploiting Contextual Uncertainty of Visual Data for Efficient Training of Deep Models—0
Undermining Image and Text Classification Algorithms Using Adversarial Attacks—0
ParseCaps: An Interpretable Parsing Capsule Network for Medical Image Diagnosis—0
Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision—0
Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification—0
Few-Class Arena: A Benchmark for Efficient Selection of Vision Models and Dataset Difficulty MeasurementCode0
MIC: Medical Image Classification Using Chest X-ray (COVID-19 and Pneumonia) Dataset with the Help of CNN and Customized CNN—0
How many classifiers do we need?—0
Retrieval-enriched zero-shot image classification in low-resource domains—0
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection—0
FISHing in Uncertainty: Synthetic Contrastive Learning for Genetic Aberration DetectionCode0
Learning local discrete features in explainable-by-design convolutional neural networksCode0
Aerial Flood Scene Classification Using Fine-Tuned Attention-based Architecture for Flood-Prone Countries in South Asia—0
Semantic Knowledge Distillation for Onboard Satellite Earth Observation Image ClassificationCode0
Multilingual Vision-Language Pre-training for the Remote Sensing DomainCode0
Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networks—0
CLIPErase: Efficient Unlearning of Visual-Textual Associations in CLIP—0
Saliency-Based diversity and fairness Metric and FaceKeepOriginalAugment: A Novel Approach for Enhancing Fairness and Diversity—0
Developing Convolutional Neural Networks using a Novel Lamarckian Co-Evolutionary Algorithm—0
Breast Cancer Histopathology Classification using CBAM-EfficientNetV2 with Transfer Learning—0
Bayesian Optimization for Hyperparameters Tuning in Neural Networks—0
Multi-Level Feature Distillation of Joint Teachers Trained on Distinct Image DatasetsCode0
Active Learning for Vision-Language Models—0
FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake DetectionCode0
FewVS: A Vision-Semantics Integration Framework for Few-Shot Image ClassificationCode1
AiSciVision: A Framework for Specializing Large Multimodal Models in Scientific Image ClassificationCode0
Interpretable Image Classification with Adaptive Prototype-based Vision TransformersCode1
Historical Test-time Prompt Tuning for Vision Foundation Models—0
Sequential Large Language Model-Based Hyper-parameter OptimizationCode0
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits—0
Enhancing CNN Classification with Lamarckian Memetic Algorithms and Local Search—0
A Multimodal Approach For Endoscopic VCE Image Classification Using BiomedCLIP-PubMedBERTCode0
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery—0
Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational ObjectiveCode0
Spatial-Temporal Search for Spiking Neural Networks—0
Noise Adaption Network for Morse Code Image ClassificationCode0
A Combinatorial Approach to Neural Emergent Communication—0
Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks—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
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
Benchmarking Large Language Models for Image Classification of Marine MammalsCode0
Development of CNN Architectures using Transfer Learning Methods for Medical Image Classification—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