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

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Showing 7426–7450 of 10420 papers

TitleStatusHype
Probabilistic Label Trees for Efficient Large Scale Image Classification—0
FPGA-based Acceleration of Neural Network for Image Classification using Vitis AI—0
POGD: Gradient Descent with New Stochastic Rules—0
Event-Based Control for Online Training of Neural Networks—0
Point-of-Care Diabetic Retinopathy Diagnosis: A Standalone Mobile Application Approach—0
Context Augmentation for Convolutional Neural Networks—0
Evidence-empowered Transfer Learning for Alzheimer's Disease—0
Evidential Federated Learning for Skin Lesion Image Classification—0
Polarimetric Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification—0
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound—0
FoveaTer: Foveated Transformer for Image Classification—0
Context-Agnostic Learning Using Synthetic Data—0
Polish Corpus of Annotated Descriptions of Images—0
Assessment of Breast Cancer Histology using Densely Connected Convolutional Networks—0
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks—0
PolSAR Image Classification based on Polarimetric Scattering Coding and Sparse Support Matrix Machine—0
Evolutionary Cell Aided Design for Neural Network Architectures—0
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity—0
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models—0
Evolutionary Multi-objective Optimisation in Neurotrajectory Prediction—0
Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification—0
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance—0
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning—0
PRIME: Prioritizing Interpretability in Failure Mode Extraction—0
Assessing the Performance of Deep Learning for Automated Gleason Grading in Prostate Cancer—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
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