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

Showing 23012325 of 10420 papers

TitleStatusHype
Cross-architecture universal feature coding via distribution alignment0
OscNet v1.5: Energy Efficient Hopfield Network on CMOS Oscillators for Image ClassificationCode0
MRI-CORE: A Foundation Model for Magnetic Resonance Imaging0
Graph Semi-Supervised Learning for Point Classification on Data Manifolds0
Can We Infer Confidential Properties of Training Data from LLMs?0
SNR and Resource Adaptive Deep JSCC for Distributed IoT Image Classification0
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 Distance0
DeepTraverse: A Depth-First Search Inspired Network for Algorithmic Visual Understanding0
Detecção da Psoríase Utilizando Visão Computacional: Uma Abordagem Comparativa Entre CNNs e Vision Transformers0
Hyperspectral Image Classification via Transformer-based Spectral-Spatial Attention Decoupling and Adaptive GatingCode0
Biologically Inspired Deep Learning Approaches for Fetal Ultrasound Image Classification0
An Adaptive Method Stabilizing Activations for Enhanced GeneralizationCode0
Hyperbolic Dual Feature Augmentation for Open-Environment0
Normalized Radon Cumulative Distribution Transforms for Invariance and Robustness in Optimal Transport Based Image ClassificationCode0
ScalableHD: Scalable and High-Throughput Hyperdimensional Computing Inference on Multi-Core CPUs0
Improving Memory Efficiency for Training KANs via Meta LearningCode0
Mind the Gap: Removing the Discretization Gap in Differentiable Logic Gate Networks0
Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification0
pFedSOP : Accelerating Training Of Personalized Federated Learning Using Second-Order Optimization0
Rewriting the Budget: A General Framework for Black-Box Attacks Under Cost AsymmetryCode0
FPDANet: A Multi-Section Classification Model for Intelligent Screening of Fetal Ultrasound0
Interpretable Few-Shot Image Classification via Prototypical Concept-Guided Mixture of LoRA Experts0
KOALA++: Efficient Kalman-Based Optimization of Neural Networks with Gradient-Covariance Products0
Recent Advances in Medical Image Classification0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified