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 4851–4875 of 10420 papers

TitleStatusHype
HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification—0
Hyperspectral Image Classification Based on Adaptive Sparse Deep Network—0
AdaPruner: Adaptive Channel Pruning and Effective Weights Inheritance—0
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks—0
CVM-Cervix: A Hybrid Cervical Pap-Smear Image Classification Framework Using CNN, Visual Transformer and Multilayer Perceptron—0
Inference Time Evidences of Adversarial Attacks for Forensic on Transformers—0
Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion—0
Hyperspectral Image Classification of Convolutional Neural Network Combined with Valuable Samples—0
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers—0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Inference with Hybrid Bio-hardware Neural Networks—0
AugOp: Inject Transformation into Neural Operator—0
Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention—0
Information Gain Sampling for Active Learning in Medical Image Classification—0
Data Augmentation for Visual Question Answering—0
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network—0
HQViT: Hybrid Quantum Vision Transformer for Image Classification—0
Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network—0
Data Augmentation in Training CNNs: Injecting Noise to Images—0
Hyperspectral Image Classification with Deep Metric Learning and Conditional Random Field—0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
Hyperspectral Remote Sensing Image Classification Based on Multi-scale Cross Graphic Convolution—0
Hyperspherical embedding for novel class classification—0
Hyperspherical Loss-Aware Ternary Quantization—0
ALA: Naturalness-aware Adversarial Lightness Attack—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