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 6051–6100 of 10420 papers

TitleStatusHype
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use caseCode1
Carrying out CNN Channel Pruning in a White BoxCode1
Research on the Detection Method of Breast Cancer Deep Convolutional Neural Network Based on Computer Aid—0
Mini-batch graphs for robust image classification—0
Complex-valued reservoir computing for aspect classification and slope-angle estimation with low computational cost and high resolution in interferometric synthetic aperture radar—0
All Tokens Matter: Token Labeling for Training Better Vision TransformersCode1
ImageNet-21K Pretraining for the MassesCode1
VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and TextCode1
Multiscale Vision TransformersCode1
Visual Analysis Motivated Rate-Distortion Model for Image Coding—0
Stateless Neural Meta-Learning using Second-Order GradientsCode0
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics—0
BraidNet: procedural generation of neural networks for image classification problems using braid theory—0
Differentiable Model Compression via Pseudo Quantization NoiseCode1
Gradient Matching for Domain GeneralizationCode1
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis—0
A Framework using Contrastive Learning for Classification with Noisy Labels—0
Quantum algorithms for SVD-based data representation and analysisCode0
Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?Code1
Contrastive Learning Improves Model Robustness Under Label NoiseCode1
Texture Based Classification of High Resolution Remotely Sensed Imagery using Weber Local Descriptor—0
Filtering Empty Camera Trap Images in Embedded SystemsCode0
Augmenting Deep Classifiers with Polynomial Neural NetworksCode0
"BNN - BN = ?": Training Binary Neural Networks without Batch NormalizationCode1
Efficient and Generic 1D Dilated Convolution Layer for Deep LearningCode0
Out-of-Distribution Detection for Dermoscopic Image Classification—0
AsymmNet: Towards ultralight convolution neural networks using asymmetrical bottlenecksCode1
A survey of active learning algorithms for supervised remote sensing image classification—0
Semisupervised Manifold Alignment of Multimodal Remote Sensing Images—0
All-You-Can-Fit 8-Bit Flexible Floating-Point Format for Accurate and Memory-Efficient Inference of Deep Neural Networks—0
A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data AugmentationCode1
A fast and Accurate Similarity-constrained Subspace Clustering Framework for Unsupervised Hyperspectral Image Classification—0
Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview CodingCode1
Annealing Knowledge DistillationCode0
Unsupervised Continual Learning Via Pseudo Labels—0
ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image RegistrationCode1
Fast Hierarchical Games for Image ExplanationsCode1
Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance—0
Domain Adaptive Monocular Depth Estimation With Semantic Information—0
Escaping the Big Data Paradigm with Compact TransformersCode1
Epigenetic evolution of deep convolutional modelsCode0
Class-Balanced Distillation for Long-Tailed Visual RecognitionCode1
LocalViT: Bringing Locality to Vision TransformersCode1
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search—0
Fruit Quality and Defect Image Classification with Conditional GAN Data AugmentationCode1
Scalable Marginal Likelihood Estimation for Model Selection in Deep LearningCode0
Zero-Shot Learning on 3D Point Cloud Objects and BeyondCode1
Image Segmentation, Compression and Reconstruction from Edge Distribution Estimation with Random Field and Random Cluster Theories—0
Tensor Network for Supervised Learning at Finite Temperature—0
Out-of-distribution detection in satellite image classification—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