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 1001–1050 of 10419 papers

TitleStatusHype
Multi-Modal Adapter for Vision-Language ModelsCode0
Robust Clustering on High-Dimensional Data with Stochastic QuantizationCode0
FC-KAN: Function Combinations in Kolmogorov-Arnold NetworksCode1
Can language-guided unsupervised adaptation improve medical image classification using unpaired images and texts?Code0
ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for Efficient Action RecognitionCode0
Evaluation and Comparison of Visual Language Models for Transportation Engineering ProblemsCode0
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude RegularizationCode0
Edge AI: Evaluation of Model Compression Techniques for Convolutional Neural Networks—0
One-Index Vector Quantization Based Adversarial Attack on Image Classification—0
Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image ClassificationCode1
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
Incremental Open-set Domain Adaptation—0
Data Augmentation for Image Classification using Generative AI—0
Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba TrainingCode1
Covariance-corrected Whitening Alleviates Network Degeneration on Imbalanced Classification—0
Instant Adversarial Purification with Adversarial Consistency Distillation—0
Statistical Analysis of the Impact of Quaternion Components in Convolutional Neural Networks—0
Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector—0
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce ClassificationCode1
Low Saturation Confidence Distribution-based Test-Time Adaptation for Cross-Domain Remote Sensing Image Classification—0
SODAWideNet++: Combining Attention and Convolutions for Salient Object DetectionCode0
Android Malware Detection Based on RGB Images and Multi-feature Fusion—0
SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative ModelsCode0
An Artificial Neural Network for Image Classification Inspired by Aversive Olfactory Learning Circuits in Caenorhabditis Elegans—0
EMP: Enhance Memory in Data Pruning—0
Visual Prompt Engineering for Medical Vision Language Models in Radiology—0
Local Descriptors Weighted Adaptive Threshold Filtering For Few-Shot Learning—0
DCT-CryptoNets: Scaling Private Inference in the Frequency DomainCode1
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
Data downlink prioritization using image classification on-board a 6U CubeSat—0
MSFMamba: Multi-Scale Feature Fusion State Space Model for Multi-Source Remote Sensing Image ClassificationCode1
On-Chip Learning with Memristor-Based Neural Networks: Assessing Accuracy and Efficiency Under Device Variations, Conductance Errors, and Input Noise—0
Uncertainties of Latent Representations in Computer Vision—0
GenFormer -- Generated Images are All You Need to Improve Robustness of Transformers on Small DatasetsCode1
Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules—0
Improving Nonlinear Projection Heads using Pretrained Autoencoder EmbeddingsCode0
Few-Shot Histopathology Image Classification: Evaluating State-of-the-Art Methods and Unveiling Performance Insights—0
3D-RCNet: Learning from Transformer to Build a 3D Relational ConvNet for Hyperspectral Image ClassificationCode2
On the Robustness of Kolmogorov-Arnold Networks: An Adversarial Perspective—0
Enhancing Adaptive Deep Networks for Image Classification via Uncertainty-aware Decision FusionCode0
Optimal Layer Selection for Latent Data Augmentation—0
Semi-Supervised Variational Adversarial Active Learning via Learning to Rank and Agreement-Based Pseudo Labeling—0
VALE: A Multimodal Visual and Language Explanation Framework for Image Classifiers using eXplainable AI and Language ModelsCode0
Symmetric masking strategy enhances the performance of Masked Image Modeling—0
Underwater SONAR Image Classification and Analysis using LIME-based Explainable Artificial IntelligenceCode0
Whole Slide Image Classification of Salivary Gland Tumours—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