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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1501–1550 of 10419 papers

TitleStatusHype
MoVL:Exploring Fusion Strategies for the Domain-Adaptive Application of Pretrained Models in Medical Imaging Tasks—0
Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail RecognitionCode0
GLiRA: Black-Box Membership Inference Attack via Knowledge DistillationCode0
Analysis of the rate of convergence of an over-parametrized convolutional neural network image classifier learned by gradient descent—0
MambaOut: Do We Really Need Mamba for Vision?Code7
On-device Online Learning and Semantic Management of TinyML SystemsCode0
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin DynamicsCode0
Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus ImagesCode1
Differentiable Model Scaling using Differentiable TopkCode1
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable PromptCode1
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image ClassificationCode1
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNsCode2
Dual-Task Vision Transformer for Rapid and Accurate Intracerebral Hemorrhage CT Image ClassificationCode0
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Data—0
Deep Multi-Task Learning for Malware Image Classification—0
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification—0
CSA-Net: Channel-wise Spatially Autocorrelated Attention NetworksCode0
Explanation as a Watermark: Towards Harmless and Multi-bit Model Ownership Verification via Watermarking Feature AttributionCode1
Exploring Explainable AI Techniques for Improved Interpretability in Lung and Colon Cancer ClassificationCode0
Pragmatist Intelligence: Where the Principle of Usefulness Can Take ANNs—0
VMambaCC: A Visual State Space Model for Crowd Counting—0
Feature Map Convergence Evaluation for Functional Module—0
DCNN: Dual Cross-current Neural Networks Realized Using An Interactive Deep Learning Discriminator for Fine-grained Objects—0
Class-relevant Patch Embedding Selection for Few-Shot Image Classification—0
TED: Accelerate Model Training by Internal Generalization—0
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image ClassificationCode0
Advancing Multimodal Medical Capabilities of Gemini—0
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification—0
A Lightweight Neural Architecture Search Model for Medical Image Classification—0
Parameter-Efficient Fine-Tuning with Discrete Fourier TransformCode2
MMEarth: Exploring Multi-Modal Pretext Tasks For Geospatial Representation LearningCode2
Multi-method Integration with Confidence-based Weighting for Zero-shot Image Classification—0
SOAR: Advancements in Small Body Object Detection for Aerial Imagery Using State Space Models and Programmable Gradients—0
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A SurveyCode0
Transformers Fusion across Disjoint Samples for Hyperspectral Image Classification—0
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks—0
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation—0
Uncertainty-aware self-training with expectation maximization basis transformation—0
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey—0
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck ModelsCode0
Variational Neuron Shifting for Few-Shot Image Classification Across Domains—0
Improved and Explainable Cervical Cancer Classification using Ensemble Pooling of Block Fused Descriptors—0
Data Augmentation Policy Search for Long-Term Forecasting—0
Let's Focus: Focused Backdoor Attack against Federated Transfer Learning—0
Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair—0
Ta-Adapter: Enhancing few-shot CLIP with task-aware encoders—0
Spectral-Spatial Mamba for Hyperspectral Image ClassificationCode1
S^2Mamba: A Spatial-spectral State Space Model for Hyperspectral Image ClassificationCode2
The Simpler The Better: An Entropy-Based Importance Metric To Reduce Neural Networks' DepthCode0
Leveraging Cross-Modal Neighbor Representation for Improved CLIP ClassificationCode1
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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