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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2301–2350 of 10419 papers

TitleStatusHype
OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image ClassificationCode0
MRI-CORE: A Foundation Model for Magnetic Resonance Imaging—0
Graph Semi-Supervised Learning for Point Classification on Data Manifolds—0
Can We Infer Confidential Properties of Training Data from LLMs?—0
SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification—0
Boosting Adversarial Transferability for Hyperspectral Image Classification Using 3D Structure-invariant Transformation and Intermediate Feature Distance—0
PiPViT: Patch-based Visual Interpretable Prototypes for Retinal Image AnalysisCode0
Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers—0
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding—0
Hyperbolic Dual Feature Augmentation for Open-Environment—0
Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image ClassificationCode0
Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification—0
An Adaptive Method Stabilizing Activations for Enhanced GeneralizationCode0
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs—0
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks—0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization—0
Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification—0
Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost AsymmetryCode0
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound—0
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts—0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products—0
Recent Advances in Medical Image Classification—0
Enhancing Interpretable Image Classification Through LLM Agents and Conditional Concept Bottleneck Models—0
Quantifying task-relevant representational similarity using decision variable correlation—0
Structured Pruning and Quantization for Learned Image CompressionCode0
Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset—0
SASP: Strip-Aware Spatial Perception for Fine-Grained Bird Image Classification—0
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting—0
Provably Improving Generalization of Few-Shot Models with Synthetic Data—0
MCFNet: A Multimodal Collaborative Fusion Network for Fine-Grained Semantic Classification—0
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You NeedCode0
BIRD: Behavior Induction via Representation-structure Distillation—0
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection—0
Deep Modeling and Optimization of Medical Image ClassificationCode0
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification—0
Leveraging Diffusion Models for Synthetic Data Augmentation in Protein Subcellular Localization Classification—0
Frequency-Adaptive Discrete Cosine-ViT-ResNet Architecture for Sparse-Data Vision—0
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models—0
Improvement Strategies for Few-Shot Learning in OCT Image Classification of Rare Retinal Diseases—0
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models—0
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning—0
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed EnvironmentsCode0
Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation ModelsCode0
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models—0
Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning—0
Diagnosing and Mitigating Modality Interference in Multimodal Large Language ModelsCode0
Remote Sensing Image Classification with Decoupled Knowledge Distillation—0
MoMBS: Mixed-order minibatch sampling enhances model training from diverse-quality images—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