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 3651–3700 of 10419 papers

TitleStatusHype
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
Heterogeneous Network Based Contrastive Learning Method for PolSAR Land Cover ClassificationCode0
Diverse Feature Learning by Self-distillation and Reset—0
MambaMixer: Efficient Selective State Space Models with Dual Token and Channel Selection—0
MCNet: A crowd denstity estimation network based on integrating multiscale attention module—0
The Bad Batches: Enhancing Self-Supervised Learning in Image Classification Through Representative Batch Curation—0
The Impact of Uniform Inputs on Activation Sparsity and Energy-Latency Attacks in Computer VisionCode0
Uncertainty-Aware SAR ATR: Defending Against Adversarial Attacks via Bayesian Neural Networks—0
Multi-scale Unified Network for Image Classification—0
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning—0
Tiny Models are the Computational Saver for Large ModelsCode0
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification—0
Enhancing Neural Network Representations with Prior Knowledge-Based NormalizationCode0
Task2Box: Box Embeddings for Modeling Asymmetric Task RelationshipsCode0
Histogram Layers for Neural Engineered FeaturesCode0
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer—0
On machine learning analysis of atomic force microscopy images for image classification, sample surface recognition—0
CBGT-Net: A Neuromimetic Architecture for Robust Classification of Streaming DataCode0
Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosis—0
Multi-Task Learning with Multi-Task Optimization—0
A Deep Learning Architectures for Kidney Disease Classification—0
Clean-image Backdoor Attacks—0
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embedding—0
Extracting Human Attention through Crowdsourced Patch Labeling—0
Do not trust what you trust: Miscalibration in Semi-supervised LearningCode0
Image Classification with Rotation-Invariant Variational Quantum Circuits—0
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion—0
Tensor network compressibility of convolutional models—0
Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Images—0
Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations—0
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understanding—0
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention—0
SynerMix: Synergistic Mixup Solution for Enhanced Intra-Class Cohesion and Inter-Class Separability in Image ClassificationCode0
Leveraging feature communication in federated learning for remote sensing image classification—0
Building Optimal Neural Architectures using Interpretable KnowledgeCode0
Bridge the Modality and Capability Gaps in Vision-Language Model Selection—0
SIFT-DBT: Self-supervised Initialization and Fine-Tuning for Imbalanced Digital Breast Tomosynthesis Image ClassificationCode0
SEVEN: Pruning Transformer Model by Reserving SentinelsCode0
Improved EATFormer: A Vision Transformer for Medical Image Classification—0
Prompt-Guided Adaptive Model Transformation for Whole Slide Image Classification—0
Using evolutionary computation to optimize task performance of unclocked, recurrent Boolean circuits in FPGAs—0
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images—0
Posterior Uncertainty Quantification in Neural Networks using Data AugmentationCode0
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey—0
Better (pseudo-)labels for semi-supervised instance segmentation—0
Uncertainty-Calibrated Test-Time Model Adaptation without Forgetting—0
IPCL: Iterative Pseudo-Supervised Contrastive Learning to Improve Self-Supervised Feature RepresentationCode0
A Systematic Review of Generalization Research in Medical Image Classification—0
Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks—0
Potential of Domain Adaptation in Machine Learning in Ecology and Hydrology to Improve Model Extrapolability—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