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 4051–4100 of 10420 papers

TitleStatusHype
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations—0
Federated Learning Versus Classical Machine Learning: A Convergence Comparison—0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Federated Learning with Bayesian Differential Privacy—0
Federated Learning with Downlink Device Selection—0
Federated Learning with Privacy-Preserving Ensemble Attention Distillation—0
Analyzing the Dependency of ConvNets on Spatial Information—0
Growing Efficient Deep Networks by Structured Continuous Sparsification—0
Federated Multi-Target Domain Adaptation—0
Design of Image Matched Non-Separable Wavelet using Convolutional Neural Network—0
Compressed Domain Image Classification Using a Dynamic-Rate Neural Network—0
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques—0
Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations—0
Adaptive Temperature Scaling with Conformal Prediction—0
FedGEMS: Federated Learning of Larger Server Models via Selective Knowledge Fusion—0
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise—0
Beyond Entropy: Style Transfer Guided Single Image Continual Test-Time Adaptation—0
Analyzing Images for Music Recommendation—0
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training—0
gSwin: Gated MLP Vision Model with Hierarchical Structure of Shifted Window—0
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models—0
Designing Extremely Memory-Efficient CNNs for On-device Vision Tasks—0
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification—0
FedSN: A Federated Learning Framework over Heterogeneous LEO Satellite Networks—0
Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness—0
Designing Adaptive Neural Networks for Energy-Constrained Image Classification—0
Descriptive analysis of computational methods for automating mammograms with practical applications—0
Feedback Control for Online Training of Neural Networks—0
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification—0
Analyzing Filters Toward Efficient ConvNet—0
FENAS: Flexible and Expressive Neural Architecture Search—0
FermiNets: Learning generative machines to generate efficient neural networks via generative synthesis—0
Dermoscopic Image Classification with Neural Style Transfer—0
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification—0
Compressively Sensed Image Recognition—0
AFINet: Attentive Feature Integration Networks for Image Classification—0
Depthwise-STFT based separable Convolutional Neural Networks—0
Depthwise Separable Convolutions Allow for Fast and Memory-Efficient Spectral Normalization—0
Depthwise Non-local Module for Fast Salient Object Detection Using a Single Thread—0
Few-shot Algorithm Assurance—0
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks—0
Few-shot crack image classification using clip based on bayesian optimization—0
Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT—0
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights—0
Adaptive Pixel-wise Structured Sparse Network for Efficient CNNs—0
Half-CNN: A General Framework for Whole-Image Regression—0
Depth Estimation with Simplified Transformer—0
Beyond Batch Learning: Global Awareness Enhanced Domain Adaptation—0
Estimating the Generalization in Deep Neural Networks via Sparsity—0
Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework—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