Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Change-point Detection Methods for Body-Worn Video
Body-worn video (BWV) cameras are increasingly utilized by police departments to provide a record of police-public interactions. However, large-scale BWV deployment produces terabytes of data per week, necessitating the …
Change Point DetectionScene ClassificationMapping Between fMRI Responses to Movies and their Natural Language Annotations
Several research groups have shown how to correlate fMRI responses to the meanings of presented stimuli. This paper presents new methods for doing so when only a natural language annotation is available as the descriptio…
Scene ClassificationSentenceSentence EmbeddingSentence-EmbeddingPlaces: An Image Database for Deep Scene Understanding
The rise of multi-million-item dataset initiatives has enabled data-hungry machine learning algorithms to reach near-human semantic classification at tasks such as object and scene recognition. Here we describe the Place…
BIG-bench Machine LearningClassificationDiversityGeneral Classification+3Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Convolutional Neural Networks (CNNs) have made remarkable progress on scene recognition, partially due to these recent large-scale scene datasets, such as the Places and Places2. Scene categories are often defined by mul…
General ClassificationScene ClassificationScene RecognitionWhat makes ImageNet good for transfer learning?
The tremendous success of ImageNet-trained deep features on a wide range of transfer tasks begs the question: what are the properties of the ImageNet dataset that are critical for learning good, general-purpose features?…
Action ClassificationGeneral ClassificationScene ClassificationTransfer LearningAID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote sensing imagery. In recent years, it has…
Aerial Scene ClassificationClassificationGeneral ClassificationScene ClassificationSolving Visual Madlibs with Multiple Cues
This paper focuses on answering fill-in-the-blank style multiple choice questions from the Visual Madlibs dataset. Previous approaches to Visual Question Answering (VQA) have mainly used generic image features from netwo…
Activity PredictionAttributeMultiple-choiceQuestion Answering+3An ensemble learning method for scene classification based on Hidden Markov Model image representation
Low level images representation in feature space performs poorly for classification with high accuracy since this level of representation is not able to project images into the discriminative feature space. In this work,…
Ensemble LearningGeneral ClassificationScene ClassificationA probabilistic patch based image representation using Conditional Random Field model for image classification
In this paper we proposed an ordered patch based method using Conditional Random Field (CRF) in order to encode local properties and their spatial relationship in images to address texture classification, face recognitio…
ClassificationFace RecognitionGeneral Classificationimage-classification+3Collaborative Layer-wise Discriminative Learning in Deep Neural Networks
Intermediate features at different layers of a deep neural network are known to be discriminative for visual patterns of different complexities. However, most existing works ignore such cross-layer heterogeneities when c…
ClassificationGeneral ClassificationScene ClassificationHierarchical learning for DNN-based acoustic scene classification
In this paper, we present a deep neural network (DNN)-based acoustic scene classification framework. Two hierarchical learning methods are proposed to improve the DNN baseline performance by incorporating the hierarchica…
Acoustic Scene ClassificationClassificationGeneral ClassificationScene ClassificationClassifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global Pooling
We trained a deep all-convolutional neural network with masked global pooling to perform single-label classification for acoustic scene classification and multi-label classification for domestic audio tagging in the DCAS…
Acoustic Scene ClassificationAllAudio TaggingClassification+5Adversarial Training For Sketch Retrieval
Generative Adversarial Networks (GAN) are able to learn excellent representations for unlabelled data which can be applied to image generation and scene classification. Representations learned by GANs have not yet been a…
Image GenerationRetrievalScene ClassificationTranslationLet there be color!: joint end-to-end learning of global and local image priors for automatic image colorization with simultaneous classification
We present a novel technique to automatically colorize grayscale images that combines both global priors and local image features. Based on Convolutional Neural Networks, our deep network features a fusion layer that all…
ColorizationImage ColorizationScene ClassificationLabel Tree Embeddings for Acoustic Scene Classification
We present in this paper an efficient approach for acoustic scene classification by exploring the structure of class labels. Given a set of class labels, a category taxonomy is automatically learned by collectively optim…
Acoustic Scene ClassificationClassificationClusteringGeneral Classification+1Modality and Component Aware Feature Fusion For RGB-D Scene Classification
While convolutional neural networks (CNN) have been excellent for object recognition, the greater spatial variability in scene images typically meant that the standard full-image CNN features are suboptimal for scene cla…
General ClassificationObject RecognitionScene ClassificationTowards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
We present an analysis of three possible strategies for exploiting the power of existing convolutional neural networks (ConvNets) in different scenarios from the ones they were trained: full training, fine tuning, and us…
General ClassificationScene ClassificationShape Distributions of Nonlinear Dynamical Systems for Video-based Inference
This paper presents a shape-theoretic framework for dynamical analysis of nonlinear dynamical systems which appear frequently in several video-based inference tasks. Traditional approaches to dynamical modeling have incl…
Activity RecognitionGesture RecognitionScene ClassificationTime Series+1Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
Learning deeper convolutional neural networks becomes a tendency in recent years. However, many empirical evidences suggest that performance improvement cannot be gained by simply stacking more layers. In this paper, we …
General ClassificationLong-tail LearningScene ClassificationPer-Sample Kernel Adaptation for Visual Recognition and Grouping
Object, action, or scene representations that are corrupted by noise significantly impair the performance of visual recognition. Typically, partial occlusion, clutter, or excessive articulation affects only a subset of a…
Action RecognitionAction Recognition In Videosfeature selectionGeneral Classification+3