Structured Refinement for Sequential Labeling
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Semantic Labeling in Very High Resolution Images via a Self-Cascaded Convolutional Neural Network
Semantic labeling for very high resolution (VHR) images in urban areas, is of significant importance in a wide range of remote sensing applications. However, many confusing manmade objects and intricate fine-structured o…
Sequential Labeling with online Deep Learning
Deep learning has attracted great attention recently and yielded the state of the art performance in dimension reduction and classification problems. However, it cannot effectively handle the structured output prediction…
Deep LearningDimensionality ReductionHierarchical Neural Networks for Sequential Sentence Classification in Medical Scientific Abstracts
Prevalent models based on artificial neural network (ANN) for sentence classification often classify sentences in isolation without considering the context in which sentences appear. This hampers the traditional sentence…
BenchmarkingClassificationGeneral ClassificationSentence+2Unsupervised Action Segmentation for Instructional Videos
In this paper we address the problem of automatically discovering atomic actions in unsupervised manner from instructional videos, which are rarely annotated with atomic actions. We present an unsupervised approach to le…
Action SegmentationSegmentationUnsupervised Action SegmentationTop-Down Learning for Structured Labeling with Convolutional Pseudoprior
Current practice in convolutional neural networks (CNN) remains largely bottom-up and the role of top-down process in CNN for pattern analysis and visual inference is not very clear. In this paper, we propose a new metho…