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 1101–1150 of 10419 papers

TitleStatusHype
Classifier Guidance Enhances Diffusion-based Adversarial Purification by Preserving Predictive Information—0
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class—0
A Novel Momentum-Based Deep Learning Techniques for Medical Image Classification and Segmentation—0
PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data SettingsCode0
Breast-NET: a lightweight DCNN model for breast cancer detection and grading using histological samplesCode0
Generalisation First, Memorisation Second? Memorisation Localisation for Natural Language Classification Tasks—0
LiD-FL: Towards List-Decodable Federated LearningCode0
Pediatric TSC-Related Epilepsy Classification from Clinical MR Images Using Quantum Neural Network—0
Dual-branch PolSAR Image Classification Based on GraphMAE and Local Feature Extraction—0
An experimental comparative study of backpropagation and alternatives for training binary neural networks for image classificationCode0
Enhanced Prototypical Part Network (EPPNet) For Explainable Image Classification Via Prototypes—0
Intuitionistic Fuzzy Cognitive Maps for Interpretable Image Classification—0
CAS-ViT: Convolutional Additive Self-attention Vision Transformers for Efficient Mobile ApplicationsCode2
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks—0
FMiFood: Multi-modal Contrastive Learning for Food Image Classification—0
Making Robust Generalizers Less Rigid with Loss ConcentrationCode0
Compress and Compare: Interactively Evaluating Efficiency and Behavior Across ML Model Compression Experiments—0
Comb, Prune, Distill: Towards Unified Pruning for Vision Model CompressionCode0
Dual-View Pyramid Pooling in Deep Neural Networks for Improved Medical Image Classification and Confidence Calibration—0
Quantum Transfer Learning for MNIST Classification Using a Hybrid Quantum-Classical Approach—0
Pre-trained Encoder Inference: Revealing Upstream Encoders In Downstream Machine Learning ServicesCode0
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image ClassificationCode1
Low-Cost Self-Ensembles Based on Multi-Branch Transformation and Grouped ConvolutionCode0
On the Robustness of Malware Detectors to Adversarial Samples—0
Network Fission Ensembles for Low-Cost Self-EnsemblesCode0
VidModEx: Interpretable and Efficient Black Box Model Extraction for High-Dimensional SpacesCode0
DeMansia: Mamba Never Forgets Any TokensCode0
A Survey and Evaluation of Adversarial Attacks for Object Detection—0
Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples—0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
Counterfactual Explanations for Medical Image Classification and Regression using Diffusion AutoencoderCode1
Spatial and Spatial-Spectral Morphological Mamba for Hyperspectral Image ClassificationCode1
WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification—0
Multi-head Spatial-Spectral Mamba for Hyperspectral Image ClassificationCode0
Rethinking Pre-Trained Feature Extractor Selection in Multiple Instance Learning for Whole Slide Image ClassificationCode0
PreMix: Addressing Label Scarcity in Whole Slide Image Classification with Pre-trained Multiple Instance Learning Aggregators—0
Deep Learning in Medical Image Classification from MRI-based Brain Tumor Images—0
DECIDER: Leveraging Foundation Model Priors for Improved Model Failure Detection and ExplanationCode0
LADDER: Language Driven Slice Discovery and Error RectificationCode1
Vera Verto: Multimodal Hijacking Attack—0
On Biases in a UK Biobank-based Retinal Image Classification ModelCode0
DFE-IANet: A Method for Polyp Image Classification Based on Dual-domain Feature Extraction and Interaction AttentionCode0
The Susceptibility of Example-Based Explainability Methods to Class Outliers—0
Faithful and Plausible Natural Language Explanations for Image Classification: A Pipeline ApproachCode0
Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification through Aligning and Deep Metric Learning—0
UniFed: A Universal Federation of a Mixture of Highly Heterogeneous Medical Image Classification TasksCode0
Distilling High Diagnostic Value Patches for Whole Slide Image Classification Using Attention Mechanism—0
Diffusion Feedback Helps CLIP See BetterCode3
Competition-based Adaptive ReLU for Deep Neural Networks—0
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small DatasetsCode1
Show:102550
← PrevPage 23 of 209Next →
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