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 1–50 of 10419 papers

TitleStatusHype
Automatic Classification and Segmentation of Tunnel Cracks Based on Deep Learning and Visual Explanations—0
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy—0
Federated Learning for Commercial Image Sources—0
MUPAX: Multidimensional Problem Agnostic eXplainable AI—0
Adversarial attacks to image classification systems using evolutionary algorithms—0
Hashed Watermark as a Filter: Defeating Forging and Overwriting Attacks in Weight-based Neural Network WatermarkingCode0
Transferring Styles for Reduced Texture Bias and Improved Robustness in Semantic Segmentation Networks—0
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise—0
ViT-ProtoNet for Few-Shot Image Classification: A Multi-Benchmark EvaluationCode0
Admissibility of Stein Shrinkage for Batch Normalization in the Presence of Adversarial Attacks—0
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning—0
Model-free Optical Processors using In Situ Reinforcement Learning with Proximal Policy Optimization—0
SoftReMish: A Novel Activation Function for Enhanced Convolutional Neural Networks for Visual Recognition Performance—0
Transferring Visual Explainability of Self-Explaining Models through Task Arithmetic—0
MVNet: Hyperspectral Remote Sensing Image Classification Based on Hybrid Mamba-Transformer Vision Backbone ArchitectureCode0
Beyond Accuracy: Metrics that Uncover What Makes a 'Good' Visual DescriptorCode0
Linear Attention with Global Context: A Multipole Attention Mechanism for Vision and PhysicsCode1
Perception-Oriented Latent Coding for High-Performance Compressed Domain Semantic InferenceCode0
Revisiting CroPA: A Reproducibility Study and Enhancements for Cross-Prompt Adversarial Transferability in Vision-Language ModelsCode0
FR-CapsNet: Enhancing Low-Resolution Image Classification via Frequency Routed CapsulesCode0
Hierarchical Mask-Enhanced Dual Reconstruction Network for Few-Shot Fine-Grained Image ClassificationCode0
Practical insights on the effect of different encodings, ansätze and measurements in quantum and hybrid convolutional neural networksCode0
Counterfactual Influence as a Distributional Quantity—0
Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding—0
Disentangled representations of microscopy imagesCode0
Iterative Quantum Feature Maps—0
One Prototype Is Enough: Single-Prototype Activation for Interpretable Image ClassificationCode0
SIM-Net: A Multimodal Fusion Network Using Inferred 3D Object Shape Point Clouds from RGB Images for 2D Classification—0
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages—0
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation—0
Robust Training with Data Augmentation for Medical Imaging Classification—0
Efficient Transformations in Deep Learning Convolutional Neural Networks—0
FedWSIDD: Federated Whole Slide Image Classification via Dataset Distillation—0
Enhancing One-run Privacy Auditing with Quantile Regression-Based Membership Inference—0
J3DAI: A tiny DNN-Based Edge AI Accelerator for 3D-Stacked CMOS Image Sensor—0
DDS-NAS: Dynamic Data Selection within Neural Architecture Search via On-line Hard Example Mining applied to Image Classification—0
Train Once, Forget Precisely: Anchored Optimization for Efficient Post-Hoc Unlearning—0
Compositional Attribute Imbalance in Vision Datasets—0
One-Shot Neural Architecture Search with Network Similarity Directed Initialization for Pathological Image Classification—0
Finding Optimal Kernel Size and Dimension in Convolutional Neural Networks An Architecture Optimization Approach—0
SeqPE: Transformer with Sequential Position EncodingCode1
Evaluating Cell Type Inference in Vision Language Models Under Varying Visual ContextCode0
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs—0
Cross-architecture universal feature coding via distribution alignment—0
OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image ClassificationCode0
Graph Semi-Supervised Learning for Point Classification on Data Manifolds—0
MRI-CORE: A Foundation Model for Magnetic Resonance Imaging—0
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image AnalysisCode0
Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance—0
SNR and Resource Adaptive Deep JSCC for Distributed IoT Image 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
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified