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 2451–2500 of 10419 papers

TitleStatusHype
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated LearningCode1
Class-Incremental Grouping Network for Continual Audio-Visual LearningCode1
SparseSwin: Swin Transformer with Sparse Transformer BlockCode1
SABLE: Secure And Byzantine robust LEarning—0
Distance-Aware eXplanation Based LearningCode0
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data AugmentationCode1
RR-CP: Reliable-Region-Based Conformal Prediction for Trustworthy Medical Image Classification—0
When to Learn What: Model-Adaptive Data Augmentation CurriculumCode1
HAct: Out-of-Distribution Detection with Neural Net Activation Histograms—0
TMComposites: Plug-and-Play Collaboration Between Specialized Tsetlin MachinesCode0
Decoding visual brain representations from electroencephalography through Knowledge Distillation and latent diffusion modelsCode0
Adversarial attacks on hybrid classical-quantum Deep Learning models for Histopathological Cancer Detection—0
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks—0
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
Signatures of Bayesian inference emerge from energy efficient synapsesCode0
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat—0
Improving Image Classification of Knee Radiographs: An Automated Image Labeling Approach—0
Multiclass Alignment of Confidence and Certainty for Network Calibration—0
AdaPlus: Integrating Nesterov Momentum and Precise Stepsize Adjustment on AdamW BasisCode0
Dynamic Early Exiting Predictive Coding Neural Networks—0
Compressing Vision Transformers for Low-Resource Visual LearningCode0
Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach—0
Locality-Aware Hyperspectral ClassificationCode1
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets—0
ExMobileViT: Lightweight Classifier Extension for Mobile Vision Transformer—0
DAT++: Spatially Dynamic Vision Transformer with Deformable AttentionCode2
Traveling Waves Encode the Recent Past and Enhance Sequence LearningCode1
Modified Step Size for Enhanced Stochastic Gradient Descent: Convergence and ExperimentsCode0
RevColV2: Exploring Disentangled Representations in Masked Image ModelingCode2
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
Fine-grained Recognition with Learnable Semantic Data AugmentationCode1
FACET: Fairness in Computer Vision Evaluation Benchmark—0
Privacy-Preserving Medical Image Classification through Deep Learning and Matrix Decomposition—0
The Quest of Finding the Antidote to Sparse Double Descent—0
CongNaMul: A Dataset for Advanced Image Processing of Soybean Sprouts—0
Classification robustness to common optical aberrationsCode0
Hyperbolic Convolutional Neural Networks—0
ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques—0
CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot InteractionCode1
Generative Model for Models: Rapid DNN Customization for Diverse Tasks and Resource Constraints—0
WSAM: Visual Explanations from Style Augmentation as Adversarial Attacker and Their Influence in Image ClassificationCode0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup—0
Application of Quantum Pre-Processing Filter for Binary Image Classification with Small SamplesCode0
Entropy-based Guidance of Deep Neural Networks for Accelerated Convergence and Improved Performance—0
Multi-Scale and Multi-Layer Contrastive Learning for Domain GeneralizationCode0
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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