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 4601–4650 of 10420 papers

TitleStatusHype
Compressive Image Classification using Deterministic Sensing Matrices—0
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis—0
FENAS: Flexible and Expressive Neural Architecture Search—0
Feedforward Legendre Memory Unit—0
Compressing the Backward Pass of Large-Scale Neural Architectures by Structured Activation Pruning—0
AFINet: Attentive Feature Integration Networks for Image Classification—0
A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical field—0
Feedback Control for Online Training of Neural Networks—0
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation—0
A Scalable Technique for Weak-Supervised Learning with Domain Constraints—0
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks—0
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification—0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
Compressing Deep Convolutional Networks using Vector Quantization—0
Affinity Graph Supervision for Visual Recognition—0
FedNS: Improving Federated Learning for collaborative image classification on mobile clients—0
Compressed Meta-Optical Encoder for Image Classification—0
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise—0
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion—0
Federated Variational Inference: Towards Improved Personalization and Generalization—0
A Safety Assurable Human-Inspired Perception Architecture—0
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module—0
ActCooLR – High-Level Learning Rate Schedules using Activation Pattern Temperature—0
A Basic Evaluation of Neural Networks Trained with the Error Diffusion Learning Algorithm—0
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network—0
Federated Multi-Target Domain Adaptation—0
Comprehensive Study on Performance Evaluation and Optimization of Model Compression: Bridging Traditional Deep Learning and Large Language Models—0
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques—0
Federated Model Search via Reinforcement Learning—0
Federated Learning with Privacy-Preserving Ensemble Attention Distillation—0
Federated Learning with Downlink Device Selection—0
Art of singular vectors and universal adversarial perturbations—0
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification—0
Federated Learning with Bayesian Differential Privacy—0
Compound Batch Normalization for Long-tailed Image Classification—0
Federated Learning Versus Classical Machine Learning: A Convergence Comparison—0
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations—0
Compositional Training for End-to-End Deep AUC Maximization—0
Artist, Style And Year Classification Using Face Recognition And Clustering With Convolutional Neural Networks—0
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis—0
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat—0
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification—0
Compositional Models: Multi-Task Learning and Knowledge Transfer with Modular Networks—0
Artificial Intelligence-Based Image Classification for Diagnosis of Skin Cancer: Challenges and Opportunities—0
A Feature Embedding Strategy for High-level CNN representations from Multiple ConvNets—0
Federated Learning for Medical Image Classification: A Comprehensive Benchmark—0
Federated Learning for Commercial Image Sources—0
Federated Learning Across Decentralized and Unshared Archives for Remote Sensing Image Classification—0
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing—0
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis—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