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 2801–2850 of 10419 papers

TitleStatusHype
LMM-Regularized CLIP Embeddings for Image Classification—0
On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image ClassificationCode0
Semi-Supervised Risk Control via Prediction-Powered Inference—0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
Linked Adapters: Linking Past and Future to Present for Effective Continual Learning—0
MVQ:Towards Efficient DNN Compression and Acceleration with Masked Vector Quantization—0
Robust image classification with multi-modal large language models—0
Data Pruning Can Do More: A Comprehensive Data Pruning Approach for Object Re-identificationCode0
Err on the Side of Texture: Texture Bias on Real DataCode0
Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component EvaluationCode0
An Efficient Framework for Enhancing Discriminative Models via Diffusion TechniquesCode0
Learned Compression for Compressed LearningCode0
STEAM: Squeeze and Transform Enhanced Attention Module—0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations—0
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
Stochastic Learning of Non-Conjugate Variational Posterior for Image Classification—0
ALoRE: Efficient Visual Adaptation via Aggregating Low Rank Experts—0
Multimodal Approaches to Fair Image Classification: An Ethical Perspective—0
An Enhancement of CNN Algorithm for Rice Leaf Disease Image Classification in Mobile Applications—0
Post-Training Non-Uniform Quantization for Convolutional Neural Networks—0
Image Classification Using Singular Value Decomposition and OptimizationCode0
Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics—0
Leveraging Content and Context Cues for Low-Light Image EnhancementCode0
How transfer learning is used in generative models for image classification: improved accuracyCode0
Convolution goes higher-order: a biologically inspired mechanism empowers image classification—0
Impact of Privacy Parameters on Deep Learning Models for Image Classification—0
Vision Transformer-based Semantic Communications With Importance-Aware Quantization—0
Hyperspectral Image Spectral-Spatial Feature Extraction via Tensor Principal Component Analysis—0
MTSpark: Enabling Multi-Task Learning with Spiking Neural Networks for Generalist Agents—0
Multisource Collaborative Domain Generalization for Cross-Scene Remote Sensing Image Classification—0
FedDUAL: A Dual-Strategy with Adaptive Loss and Dynamic Aggregation for Mitigating Data Heterogeneity in Federated LearningCode0
Enhancing Whole Slide Image Classification through Supervised Contrastive Domain Adaptation—0
Quantized and Interpretable Learning Scheme for Deep Neural Networks in Classification Task—0
Multi-Level Correlation Network For Few-Shot Image ClassificationCode0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data—0
Assessing the performance of CT image denoisers using Laguerre-Gauss Channelized Hotelling Observer for lesion detection—0
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing—0
Mixture of Physical Priors Adapter for Parameter-Efficient Fine-Tuning—0
Lean classical-quantum hybrid neural network model for image classification—0
Synergistic Development of Perovskite Memristors and Algorithms for Robust Analog Computing—0
Active Learning via Classifier Impact and Greedy Selection for Interactive Image RetrievalCode0
Saliency Maps Give a False Sense of Explanability to Image Classifiers: An Empirical Evaluation across Methods and MetricsCode0
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability—0
Class Distance Weighted Cross Entropy Loss for Classification of Disease Severity—0
Neuron Abandoning Attention Flow: Visual Explanation of Dynamics inside CNN Models—0
PROFIT: A Specialized Optimizer for Deep Fine Tuning—0
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture—0
SPF-Net: Solar panel fault detection using U-Net based deep learning image classification—0
Curriculum Fine-tuning of Vision Foundation Model for Medical Image Classification Under Label Noise—0
FairDD: Fair Dataset Distillation via Synchronized Matching—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