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 4251–4300 of 10420 papers

TitleStatusHype
Learning by Self-ExplainingCode0
Personalized Food Image Classification: Benchmark Datasets and New Baseline—0
Biased Attention: Do Vision Transformers Amplify Gender Bias More than Convolutional Neural Networks?Code0
Continual Learning with Deep Streaming Regularized Discriminant AnalysisCode0
Mitigating Group Bias in Federated Learning for Heterogeneous Devices—0
Dynamic Spectrum Mixer for Visual Recognition—0
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition—0
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense—0
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology—0
OLID I: an open leaf image dataset for plant stress recognition—0
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels—0
Strong-Weak Integrated Semi-supervision for Unsupervised Single and Multi Target Domain Adaptation—0
Accelerating Deep Neural Networks via Semi-Structured Activation Sparsity—0
Computer Vision Pipeline for Automated Antarctic Krill Analysis—0
Distance-Aware eXplanation Based LearningCode0
SABLE: Secure And Byzantine robust LEarning—0
GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification—0
Gall Bladder Cancer Detection from US Images with Only Image Level LabelsCode0
TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin MachinesCode0
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification—0
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms—0
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks—0
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection—0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Representation Synthesis by Probabilistic Many-Valued Logic Operation in Self-Supervised Learning—0
Improving Resnet-9 Generalization Trained on Small Datasets—0
How adversarial attacks can disrupt seemingly stable accurate classifiers—0
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat—0
Multiclass Alignment of Confidence and Certainty for Network Calibration—0
Signatures of Bayesian inference emerge from energy efficient synapsesCode0
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach—0
Compressing Vision Transformers for Low-Resource Visual LearningCode0
Dynamic Early Exiting Predictive Coding Neural Networks—0
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach—0
AdaPlus: Integrating Nesterov Momentum and Precise Stepsize Adjustment on AdamW BasisCode0
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets—0
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer—0
Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and ExperimentsCode0
Knowledge Graph Embeddings for Multi-Lingual Structured Representations of Radiology Reports—0
Affine-Transformation-Invariant Image Classification by Differentiable Arithmetic Distribution Module—0
SortedNet: A Scalable and Generalized Framework for Training Modular Deep Neural Networks—0
The Quest of Finding the Antidote to Sparse Double Descent—0
FACET: Fairness in Computer Vision Evaluation Benchmark—0
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition—0
CongNaMul: A Dataset for Advanced Image Processing of Soybean Sprouts—0
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques—0
Classification robustness to common optical aberrationsCode0
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image ClassificationCode0
Hyperbolic Convolutional Neural Networks—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—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