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 4151–4175 of 10420 papers

TitleStatusHype
Adaptive Smooth Activation for Improved Disease Diagnosis and Organ Segmentation from Radiology Scans—0
Analysis of Convolutional Neural Networks for Document Image Classification—0
Hierarchical Adaptive Structural SVM for Domain Adaptation—0
Delay Differential Neural Networks—0
Déjà Vu Memorization in Vision-Language Models—0
Benchmarks for Image Classification and Other High-dimensional Pattern Recognition Problems—0
Benchmarking the Robustness of Semantic Segmentation Models—0
Analysis of convolutional neural network image classifiers in a rotationally symmetric model—0
Deformation-Invariant Neural Network and Its Applications in Distorted Image Restoration and Analysis—0
Benchmarking Test-Time Unsupervised Deep Neural Network Adaptation on Edge Devices—0
Deformable Gabor Feature Networks for Biomedical Image Classification—0
Analysis of convolutional neural network image classifiers in a hierarchical max-pooling model with additional local pooling—0
Adaptive Sharpness-Aware Pruning for Robust Sparse Networks—0
ACIL: Active Class Incremental Learning for Image Classification—0
Hierarchical Deep Convolutional Neural Networks for Multi-category Diagnosis of Gastrointestinal Disorders on Histopathological Images—0
DeformableFormer: Classification of Endoscopic Ultrasound Guided Fine Needle Biopsy in Pancreatic Diseases—0
DefMamba: Deformable Visual State Space Model—0
SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification—0
Defining Quantum Neural Networks via Quantum Time Evolution—0
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization—0
Adaptive Selection of Deep Learning Models on Embedded Systems—0
HFSP: A Hardware-friendly Soft Pruning Framework for Vision Transformers—0
Defensive Tensorization: Randomized Tensor Parametrization for Robust Neural Networks—0
Defensive Tensorization—0
Benchmarking PathCLIP for Pathology Image Analysis—0
Show:102550
← PrevPage 167 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
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