Papers Multi-Label Image Classification
“Multi-Label Image Classification” 태그가 달린 논문 131편 · 필터 해제
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
The chest X-ray is one of the most commonly accessible radiological examinations for screening and diagnosis of many lung diseases. A tremendous number of X-ray imaging studies accompanied by radiological reports are acc…
General Classificationimage-classificationImage ClassificationLung Disease Classification+3Improving Pairwise Ranking for Multi-label Image Classification
Learning to rank has recently emerged as an attractive technique to train deep convolutional neural networks for various computer vision tasks. Pairwise ranking, in particular, has been successful in multi-label image cl…
ClassificationGeneral Classificationimage-classificationImage Classification+2Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification
Multi-label image classification is a fundamental but challenging task in computer vision. Great progress has been achieved by exploiting semantic relations between labels in recent years. However, conventional approache…
ClassificationGeneral Classificationimage-classificationImage Classification+2Multi-Label Image Classification with Regional Latent Semantic Dependencies
Deep convolution neural networks (CNN) have demonstrated advanced performance on single-label image classification, and various progress also have been made to apply CNN methods on multi-label image classification, which…
ClassificationGeneral Classificationimage-classificationImage Classification+1Weakly-supervised Learning of Mid-level Features for Pedestrian Attribute Recognition and Localization
State-of-the-art methods treat pedestrian attribute recognition as a multi-label image classification problem. The location information of person attributes is usually eliminated or simply encoded in the rigid splitting …
AttributeClusteringimage-classificationImage Classification+6Conditional Graphical Lasso for Multi-Label Image Classification
Multi-label image classification aims to predict multiple labels for a single image which contains diverse content. By utilizing label correlations, various techniques have been developed to improve classification perfor…
ClassificationGeneral Classificationimage-classificationImage Classification+3CNN-RNN: A Unified Framework for Multi-label Image Classification
While deep convolutional neural networks (CNNs) have shown a great success in single-label image classification, it is important to note that real world images generally contain multiple labels, which could correspond to…
ClassificationGeneral Classificationimage-classificationImage Classification+3Deep Residual Learning for Image Recognition
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously. We explicitly reformulate the layers…
ClassificationDomain GeneralizationDynamic Facial Expression Recognition+11Learning Graph Structure for Multi-Label Image Classification via Clique Generation
Exploiting label dependency for multi-label image classification can significantly improve classification performance. Probabilistic Graphical Models are one of the primary methods for representing such dependencies. The…
General Classificationimage-classificationImage ClassificationMulti-Label Image ClassificationHeterogeneous Visual Features Fusion via Sparse Multimodal Machine
To better understand, search, and classify image and video information, many visual feature descriptors have been proposed to describe elementary visual characteristics, such as the shape, the color, the texture, etc. Ho…
Feature Importanceimage-classificationImage ClassificationMulti-Label Image Classification+2Online Learning in The Manifold of Low-Rank Matrices
When learning models that are represented in matrix forms, enforcing a low-rank constraint can dramatically improve the memory and run time complexity, while providing a natural regularization of the model. Howeve…
image-classificationImage ClassificationMulti-Label Image Classification