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 7151–7200 of 10420 papers

TitleStatusHype
Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints—0
Joint Learning of Set Cardinality and State Distribution—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—0
Deep Multi-view Models for Glitch Classification—0
Joint Learning of Discriminative Low-dimensional Image Representations Based on Dictionary Learning and Two-layer Orthogonal Projections—0
Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
A Multi-Modal Federated Learning Framework for Remote Sensing Image Classification—0
Joint Hierarchical Category Structure Learning and Large-Scale Image Classification—0
Deep Multi-Task Learning for Malware Image Classification—0
Digital-SC: Digital Semantic Communication with Adaptive Network Split and Learned Non-Linear Quantization—0
Deep multi-survey classification of variable stars—0
Operator-learning-inspired Modeling of Neural Ordinary Differential Equations—0
Optical Neural Networks—0
Optical Neural Ordinary Differential Equations—0
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives—0
BasisNet: Two-stage Model Synthesis for Efficient Inference—0
Optimal Attacks against Multiple Classifiers—0
Jacobian Descent for Multi-Objective Optimization—0
Optimal Layer Selection for Latent Data Augmentation—0
Deep multi-prototype capsule networks—0
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor—0
iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection—0
Deep Multiple Instance Learning for Image Classification and Auto-Annotation—0
Basic Thresholding Classification—0
Optimization of Autonomous Driving Image Detection Based on RFAConv and Triplet Attention—0
Optimization on Submanifolds of Convolution Kernels in CNNs—0
Automatic Design of CNNs via Differentiable Neural Architecture Search for PolSAR Image Classification—0
Optimized Generic Feature Learning for Few-shot Classification across Domains—0
Optimized Learning for X-Ray Image Classification for Multi-Class Disease Diagnoses with Accelerated Computing Strategies—0
A multi-modal approach towards mining social media data during natural disasters -- a case study of Hurricane Irma—0
Optimizing Breast Cancer Detection in Mammograms: A Comprehensive Study of Transfer Learning, Resolution Reduction, and Multi-View Classification—0
Adversarial Rain Attack and Defensive Deraining for DNN Perception—0
Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution—0
It's Not a Modality Gap: Characterizing and Addressing the Contrastive Gap—0
Optimizing Deep Learning Inference on Embedded Systems Through Adaptive Model Selection—0
Optimizing Estimators of Squared Calibration Errors in Classification—0
Optimizing Explanations by Network Canonization and Hyperparameter Search—0
Optimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels—0
Optimizing Gastrointestinal Diagnostics: A CNN-Based Model for VCE Image Classification—0
Optimizing Knowledge Distillation in Transformers: Enabling Multi-Head Attention without Alignment Barriers—0
Optimizing Multi-Domain Performance with Active Learning-based Improvement Strategies—0
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding—0
Layer-wise Relevance Propagation for Echo State Networks applied to Earth System Variability—0
Iterative Self-Learning: Semi-Supervised Improvement to Dataset Volumes and Model Accuracy—0
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation—0
Oral squamous cell detection using deep learning—0
Iterative Quantum Feature Maps—0
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling—0
Iterative Online Image Synthesis via Diffusion Model for Imbalanced Classification—0
Show:102550
← PrevPage 144 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