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 7176–7200 of 10420 papers

TitleStatusHype
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 288 of 417Next →
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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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