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 51–100 of 10419 papers

TitleStatusHype
Can We Infer Confidential Properties of Training Data from LLMs?—0
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding—0
Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers—0
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs—0
InceptionMamba: An Efficient Hybrid Network with Large Band Convolution and Bottleneck MambaCode1
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
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
Hyperbolic Dual Feature Augmentation for Open-Environment—0
An Adaptive Method Stabilizing Activations for Enhanced GeneralizationCode0
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
SAFE: Finding Sparse and Flat Minima to Improve PruningCode1
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
Eigenspectrum Analysis of Neural Networks without Aspect Ratio BiasCode1
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts—0
Recent Advances in Medical Image Classification—0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products—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
OD3: Optimization-free Dataset Distillation for Object DetectionCode1
Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset—0
Optimal Weighted Convolution for Classification and DenosingCode2
Provably Improving Generalization of Few-Shot Models with Synthetic Data—0
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting—0
SASP: Strip-Aware Spatial Perception for Fine-Grained Bird Image Classification—0
GeoVision Labeler: Zero-Shot Geospatial Classification with Vision and Language ModelsCode2
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection—0
BIRD: Behavior Induction via Representation-structure Distillation—0
Boosting Domain Incremental Learning: Selecting the Optimal Parameters is All You NeedCode0
Deep Modeling and Optimization of Medical Image ClassificationCode0
DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification—0
MCFNet: A Multimodal Collaborative Fusion Network for Fine-Grained Semantic Classification—0
Test-Time Adaptation of Vision-Language Models for Open-Vocabulary Semantic SegmentationCode1
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
Task-Oriented Low-Label Semantic Communication With Self-Supervised Learning—0
Diagnosing and Mitigating Modality Interference in Multimodal Large Language ModelsCode0
Advancements in Medical Image Classification through Fine-Tuning Natural Domain Foundation ModelsCode0
Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learning—0
DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models—0
UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models—0
Improvement Strategies for Few-Shot Learning in OCT Image Classification of Rare Retinal Diseases—0
Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models—0
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed EnvironmentsCode0
Remote Sensing Image Classification with Decoupled Knowledge Distillation—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