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 7401–7450 of 10420 papers

TitleStatusHype
Planarian Neural Networks: Evolutionary Patterns from Basic Bilateria Shaping Modern Artificial Neural Network Architectures—0
Evaluating The Robustness of Self-Supervised Representations to Background/Foreground Removal—0
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator—0
Privacy-Preserving Image Classification in the Local Setting—0
Context-Aware Multipath Networks—0
Fractional Wavelet Scattering Network and Applications—0
Privacy-Preserving Collaborative Deep Learning with Unreliable Participants—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
Playing the Game of Universal Adversarial Perturbations—0
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP—0
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval—0
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification—0
PLM: Partial Label Masking for Imbalanced Multi-label Classification—0
Evaluation of Deep Learning on an Abstract Image Classification Dataset—0
Context-aware deep model compression for edge cloud computing—0
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment—0
Context-Aware Classification of Legal Document Pages—0
PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification—0
FPGA Resource-aware Structured Pruning for Real-Time Neural Networks—0
A Gabor block based Kernel Discriminative Common Vector (KDCV) approach using cosine kernels for Human Face Recognition—0
p-Meta: Towards On-device Deep Model Adaptation—0
PND-Net: Plant Nutrition Deficiency and Disease Classification using Graph Convolutional Network—0
Prioritized Multi-Criteria Federated Learning—0
Privacy-preserving Decentralized Aggregation for Federated Learning—0
Privacy-Preserving Image Classification Using Isotropic Network—0
Probabilistic Label Trees for Efficient Large Scale Image Classification—0
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI—0
POGD: Gradient Descent with New Stochastic Rules—0
Event-Based Control for Online Training of Neural Networks—0
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach—0
Context Augmentation for Convolutional Neural Networks—0
Evidence-empowered Transfer Learning for Alzheimer's Disease—0
Evidential Federated Learning for Skin Lesion Image Classification—0
Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification—0
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound—0
FoveaTer: Foveated Transformer for Image Classification—0
Context-Agnostic Learning Using Synthetic Data—0
Polish Corpus of Annotated Descriptions of Images—0
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks—0
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks—0
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine—0
Evolutionary Cell Aided Design for Neural Network Architectures—0
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity—0
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models—0
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction—0
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification—0
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance—0
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning—0
PRIME: Prioritizing Interpretability in Failure Mode Extraction—0
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer—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