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 3101–3150 of 10419 papers

TitleStatusHype
Optimizing Neural Network Performance and Interpretability with Diophantine Equation Encoding—0
Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator—0
Minimizing Embedding Distortion for Robust Out-of-Distribution Performance—0
Dynamic Decoupling of Placid Terminal Attractor-based Gradient Descent Algorithm—0
Seam Carving as Feature Pooling in CNN—0
Adversarial Attacks on Data AttributionCode0
SVFit: Parameter-Efficient Fine-Tuning of Large Pre-Trained Models Using Singular Values—0
Look One and More: Distilling Hybrid Order Relational Knowledge for Cross-Resolution Image Recognition—0
Replay Consolidation with Label Propagation for Continual Object Detection—0
LoCa: Logit Calibration for Knowledge Distillation—0
Swin Transformer for Robust Differentiation of Real and Synthetic Images: Intra- and Inter-Dataset Analysis—0
Activation Function Optimization Scheme for Image ClassificationCode0
Connectivity-Inspired Network for Context-Aware RecognitionCode0
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power ApplicationsCode0
WaterMAS: Sharpness-Aware Maximization for Neural Network Watermarking—0
Non-Uniform Illumination Attack for Fooling Convolutional Neural NetworksCode0
Have Large Vision-Language Models Mastered Art History?—0
PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised LearningCode0
Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT ModelsCode0
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation—0
Boosting Generalizability towards Zero-Shot Cross-Dataset Single-Image Indoor Depth by Meta-Initialization—0
Compressed learning based onboard semantic compression for remote sensing platformsCode0
Robust Clustering on High-Dimensional Data with Stochastic QuantizationCode0
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Code0
Multi-Modal Adapter for Vision-Language ModelsCode0
Evaluation and Comparison of Visual Language Models for Transportation Engineering ProblemsCode0
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action RecognitionCode0
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude RegularizationCode0
One-Index Vector Quantization Based Adversarial Attack on Image Classification—0
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks—0
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic SegmentationCode0
Real-Time Weather Image Classification with SVMCode0
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?—0
Data Augmentation for Image Classification using Generative AI—0
Incremental Open-set Domain Adaptation—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification—0
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative ModelsCode0
Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector—0
Android Malware Detection Based on RGB Images and Multi-feature Fusion—0
Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks—0
SODAWideNet++: Combining Attention and Convolutions for Salient Object DetectionCode0
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification—0
Visual Prompt Engineering for Medical Vision Language Models in Radiology—0
An Artificial Neural Network for Image Classification Inspired by Aversive Olfactory Learning Circuits in Caenorhabditis Elegans—0
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning—0
EMP: Enhance Memory in Data Pruning—0
A Review of Transformer-Based Models for Computer Vision Tasks: Capturing Global Context and Spatial Relationships—0
AnomalousPatchCore: Exploring the Use of Anomalous Samples in Industrial Anomaly Detection—0
Text-guided Foundation Model Adaptation for Long-Tailed Medical 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
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