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 6751–6800 of 10420 papers

TitleStatusHype
Gaussian RAM: Lightweight Image Classification via Stochastic Retina-Inspired Glimpse and Reinforcement LearningCode1
Generic Semi-Supervised Adversarial Subject Translation for Sensor-Based Human Activity Recognition—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
FAT: Training Neural Networks for Reliable Inference Under Hardware Faults—0
Semi-supervised Sparse Representation with Graph Regularization for Image Classification—0
Automatic Open-World Reliability AssessmentCode0
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image ClassificationCode1
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
Masked Face Image Classification with Sparse Representation based on Majority Voting Mechanism—0
Neural Architecture Search with an Efficient Multiobjective Evolutionary Framework—0
When Optimizing f-divergence is Robust with Label NoiseCode1
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
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
NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion AnalysisCode0
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
Similarity-Based Clustering for Enhancing Image Classification ArchitecturesCode0
A Tunable Robust Pruning Framework Through Dynamic Network Rewiring of DNNsCode0
MACE: Model Agnostic Concept Extractor for Explaining Image Classification NetworksCode0
Image Classification via Quantum Machine Learning—0
Learning Visual Representations for Transfer Learning by Suppressing TextureCode1
Deep Feature Augmentation for Occluded Image Classification—0
Fuzzy Pooling—0
OCR, Classification & Machine Translation (OCCAM)—0
FENAS: Flexible and Expressive Neural Architecture Search—0
Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation—0
An Information-Geometric Distance on the Space of TasksCode0
Brain Tumor Classification Using Medial Residual Encoder Layers—0
Neural Network Design: Learning from Neural Architecture SearchCode0
MAD-VAE: Manifold Awareness Defense Variational AutoencoderCode0
A Survey on Contrastive Self-supervised Learning—0
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification—0
C-Net: A Reliable Convolutional Neural Network for Biomedical Image ClassificationCode0
Training EfficientNets at Supercomputer Scale: 83% ImageNet Top-1 Accuracy in One Hour—0
Mutual Information-based Disentangled Neural Networks for Classifying Unseen Categories in Different Domains: Application to Fetal Ultrasound Imaging—0
Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance ViewCode0
Why Do Better Loss Functions Lead to Less Transferable Features?—0
A Deep Convolutional Neural Network Applied to Ship Detection and Classification—0
Can the state of relevant neurons in a deep neural networks serve as indicators for detecting adversarial attacks?—0
Understanding the Failure Modes of Out-of-Distribution GeneralizationCode1
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate 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