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 6801–6850 of 10420 papers

TitleStatusHype
Augmenting Deep Classifiers with Polynomial Neural NetworksCode0
Out-of-Distribution Detection for Dermoscopic 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 survey of active learning algorithms for supervised remote sensing image classification—0
A fast and Accurate Similarity-constrained Subspace Clustering Framework for Unsupervised Hyperspectral Image Classification—0
Annealing Knowledge DistillationCode0
Unsupervised Continual Learning Via Pseudo Labels—0
Anomaly Detection in Image Datasets Using Convolutional Neural Networks, Center Loss, and Mahalanobis Distance—0
Epigenetic evolution of deep convolutional modelsCode0
Domain Adaptive Monocular Depth Estimation With Semantic Information—0
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search—0
Scalable Marginal Likelihood Estimation for Model Selection in Deep LearningCode0
Tensor Network for Supervised Learning at Finite Temperature—0
Combined Depth Space based Architecture Search For Person Re-identificationCode0
Self-Weighted Ensemble Method to Adjust the Influence of Individual Models based on Reliability—0
Class-Wise Principal Component Analysis for hyperspectral image feature extraction—0
eGAN: Unsupervised approach to class imbalance using transfer learningCode0
Image Segmentation, Compression and Reconstruction from Edge Distribution Estimation with Random Field and Random Cluster Theories—0
Reinforced Attention for Few-Shot Learning and Beyond—0
Out-of-distribution detection in satellite image classification—0
Robust Training of Social Media Image Classification Models for Rapid Disaster Response—0
Unsupervised Class-Incremental Learning Through Confusion—0
Few-Shot Action Recognition with Compromised Metric via Optimal Transport—0
Prototypical Region Proposal Networks for Few-Shot Localization and Classification—0
Deep Features for training Support Vector Machine—0
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
Quantum Enhanced Filter: QFilter—0
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and RegressionCode0
Streaming Self-Training via Domain-Agnostic Unlabeled Images—0
White Box Methods for Explanations of Convolutional Neural Networks in Image Classification Tasks—0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—0
Classification with Runge-Kutta networks and feature space augmentationCode0
Tuned Compositional Feature Replays for Efficient Stream LearningCode0
Explainability-aided Domain Generalization for Image Classification—0
Towards Self-Adaptive Metric Learning On the Fly—0
AAformer: Auto-Aligned Transformer for Person Re-Identification—0
Diverse Gaussian Noise Consistency Regularization for Robustness and Uncertainty CalibrationCode0
LiftPool: Bidirectional ConvNet Pooling—0
Estimating the Generalization in Deep Neural Networks via Sparsity—0
Defending Against Image Corruptions Through Adversarial Augmentations—0
Unconstrained Face Recognition using ASURF and Cloud-Forest Classifier optimized with VLAD—0
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural NetworkCode0
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation—0
Keep Learning: Self-supervised Meta-learning for Learning from Inference—0
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study—0
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study—0
A Novel Deep ML Architecture by Integrating Visual Simultaneous Localization and Mapping (vSLAM) into Mask R-CNN for Real-time Surgical Video Analysis—0
Spectral decoupling allows training transferable neural networks in medical imaging—0
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition—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