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 2551–2600 of 10419 papers

TitleStatusHype
Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification—0
MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification—0
Keeping Representation Similarity in Finetuning for Medical Image Analysis—0
A Zero-shot Learning Method Based on Large Language Models for Multi-modal Knowledge Graph Embedding—0
Measuring directional bias amplification in image captions using predictability—0
Distilling Knowledge into Quantum Vision Transformers for Biomedical Image Classification—0
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization—0
Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals—0
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification—0
Feature-EndoGaussian: Feature Distilled Gaussian Splatting in Surgical Deformable Scene Reconstruction—0
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation—0
Disrupting Model Merging: A Parameter-Level Defense Without Sacrificing Accuracy—0
Minion Gated Recurrent Unit for Continual Learning—0
AF-KAN: Activation Function-Based Kolmogorov-Arnold Networks for Efficient Representation Learning—0
Randomized based restricted kernel machine for hyperspectral image classification—0
Measurement noise scaling laws for cellular representation learningCode0
Sharpness-Aware Minimization: General Analysis and Improved RatesCode0
Remote Sensing Image Classification Using Convolutional Neural Network (CNN) and Transfer Learning Techniques—0
SAR-W-MixMAE: SAR Foundation Model Training Using Backscatter Power Weighting—0
Mamba base PKD for efficient knowledge compression—0
ViKANformer: Embedding Kolmogorov Arnold Networks in Vision Transformers for Pattern-Based Learning—0
Mathematical Foundation of Interpretable Equivariant Surrogate Models—0
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained ModelCode0
AMUN: Adversarial Machine UNlearning—0
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations—0
Transformer Meets Twicing: Harnessing Unattended Residual InformationCode0
AI-Augmented Thyroid Scintigraphy for Robust Classification—0
Model-Agnostic Meta-Policy Optimization via Zeroth-Order Estimation: A Linear Quadratic Regulator Perspective—0
Few-shot crack image classification using clip based on bayesian optimization—0
Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction—0
A Residual Multi-task Network for Joint Classification and Regression in Medical Imaging—0
Learning Mask Invariant Mutual Information for Masked Image Modeling—0
InPK: Infusing Prior Knowledge into Prompt for Vision-Language Models—0
Spatial-Spectral Diffusion Contrastive Representation Network for Hyperspectral Image Classification—0
Language-Informed Hyperspectral Image Synthesis for Imbalanced-Small Sample Classification via Semi-Supervised Conditional Diffusion Model—0
Vision Transformers on the Edge: A Comprehensive Survey of Model Compression and Acceleration Strategies—0
I Know What I Don't Know: Improving Model Cascades Through Confidence Tuning—0
MedKAN: An Advanced Kolmogorov-Arnold Network for Medical Image Classification—0
Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification—0
Diff-SySC: An Approach Using Diffusion Models for Semi-Supervised Image Classification—0
A Fusion Model for Art Style and Author Recognition Based on Convolutional Neural Networks and Transformers—0
A Priori Generalizability Estimate for a CNN—0
Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models—0
Can Score-Based Generative Modeling Effectively Handle Medical Image Classification?Code0
A Transformer-in-Transformer Network Utilizing Knowledge Distillation for Image Recognition—0
Disentangling Visual Transformers: Patch-level Interpretability for Image Classification—0
AUKT: Adaptive Uncertainty-Guided Knowledge Transfer with Conformal Prediction—0
A Multi-Scale Isolation Forest Approach for Real-Time Detection and Filtering of FGSM Adversarial Attacks in Video Streams of Autonomous Vehicles—0
MOB-GCN: A Novel Multiscale Object-Based Graph Neural Network for Hyperspectral Image ClassificationCode0
Steganographic Embeddings as an Effective Data AugmentationCode0
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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