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 7251–7300 of 10420 papers

TitleStatusHype
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification—0
A Multi-class Approach -- Building a Visual Classifier based on Textual Descriptions using Zero-Shot Learning—0
Positive-Congruent Training: Towards Regression-Free Model Updates—0
MGIC: Multigrid-in-Channels Neural Network ArchitecturesCode0
Deep Learning Benchmarks and Datasets for Social Media Image Classification for Disaster Response—0
A Simple Framework to Quantify Different Types of Uncertainty in Deep Neural Networks for Image Classification—0
Use HiResCAM instead of Grad-CAM for faithful explanations of convolutional neural networksCode0
Ensemble of Models Trained by Key-based Transformed Images for Adversarially Robust Defense Against Black-box Attacks—0
Redesigning the classification layer by randomizing the class representation vectors—0
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks—0
SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images—0
Coresets for Robust Training of Neural Networks against Noisy Labels—0
Texture image classification based on a pseudo-parabolic diffusion model—0
Pneumothorax and chest tube classification on chest x-rays for detection of missed pneumothorax—0
TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks—0
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations—0
Multi-layered tensor networks for image classificationCode0
Metastatic Cancer Image Classification Based On Deep Learning Method—0
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories—0
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges—0
Improving Model Accuracy for Imbalanced Image Classification Tasks by Adding a Final Batch Normalization Layer: An Empirical Study—0
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults—0
Semi-supervised Sparse Representation with Graph Regularization for Image Classification—0
A comparative study of semi- and self-supervised semantic segmentation of biomedical microscopy data—0
Deep learning and hand-crafted features for virus image classification—0
Automatic Open-World Reliability AssessmentCode0
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition—0
Pixel precise unsupervised detection of viral particle proliferation in cellular imaging data—0
A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification—0
Ontology-driven Event Type Classification in ImagesCode0
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework—0
Masked Face Image Classification with Sparse Representation based on Majority Voting Mechanism—0
Identifying Mislabeled Images in Supervised Learning Utilizing Autoencoder—0
Online Descriptor Enhancement via Self-Labelling Triplets for Visual Data Association—0
Channel Pruning via Multi-Criteria based on Weight Dependency—0
Augmented Equivariant Attention Networks for Microscopy Image Reconstruction—0
Confusable Learning for Large-class Few-Shot Classification—0
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion AnalysisCode0
A Multi-resolution Model for Histopathology Image Classification and Localization with Multiple Instance Learning—0
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGACode0
Deep Active Learning with Augmentation-based Consistency EstimationCode0
Subtensor Quantization for Mobilenets—0
Hyperspectral classification of blood-like substances using machine learning methods combined with genetic algorithms in transductive and inductive scenarios—0
MACE: Model Agnostic Concept Extractor for Explaining Image Classification NetworksCode0
Image Classification via Quantum Machine Learning—0
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNsCode0
Similarity-Based Clustering for Enhancing Image Classification ArchitecturesCode0
Deep Feature Augmentation for Occluded Image Classification—0
FENAS: Flexible and Expressive Neural Architecture Search—0
OCR, Classification & Machine Translation (OCCAM)—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