Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Characterizing dynamically varying acoustic scenes from egocentric audio recordings in workplace setting
Devices capable of detecting and categorizing acoustic scenes have numerous applications such as providing context-aware user experiences. In this paper, we address the task of characterizing acoustic scenes in a workpla…
Acoustic Scene ClassificationGeneral ClassificationScene ClassificationCentroid Based Concept Learning for RGB-D Indoor Scene Classification
This paper contributes a novel cognitively-inspired method for RGB-D indoor scene classification. High intra-class variance and low inter-class variance make indoor scene classification an extremely challenging task. To …
ClassificationClusteringGeneral ClassificationHippocampus+1Deep Metric Learning-Based Feature Embedding for Hyperspectral Image Classification
Learning from a limited number of labeled samples (pixels) remains a key challenge in the hyperspectral image (HSI) classification. To address this issue, we propose a deep metric learning-based feature embedding model, …
Domain AdaptationFew-Shot Image ClassificationHyperspectral Image Classificationimage-classification+4Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs
We present CP-JKU submission to MediaEval 2019; a Receptive Field-(RF)-regularized and Frequency-Aware CNN approach for tagging music with emotion/mood labels. We perform an investigation regarding the impact of the RF o…
Acoustic Scene ClassificationScene ClassificationCross-task pre-training for on-device acoustic scene classification
Acoustic scene classification (ASC) and acoustic event detection (AED) are different but related tasks. Acoustic events can provide useful information for recognizing acoustic scenes. However, most of the datasets are pr…
Acoustic Scene ClassificationClassificationEvent DetectionGeneral Classification+1Acoustic Scene Classification Based on a Large-margin Factorized CNN
In this paper, we present an acoustic scene classification framework based on a large-margin factorized convolutional neural network (CNN). We adopt the factorized CNN to learn the patterns in the time-frequency domain b…
Acoustic Scene ClassificationClassificationGeneral ClassificationScene Classification+1Residual Attention Graph Convolutional Network for Geometric 3D Scene Classification
Geometric 3D scene classification is a very challenging task. Current methodologies extract the geometric information using only a depth channel provided by an RGB-D sensor. These kinds of methodologies introduce possibl…
ClassificationGeneral ClassificationScene ClassificationAcoustic scene analysis with multi-head attention networks
Acoustic Scene Classification (ASC) is a challenging task, as a single scene may involve multiple events that contain complex sound patterns. For example, a cooking scene may contain several sound sources including silve…
Acoustic Scene ClassificationGeneral ClassificationScene ClassificationSemantic-Aware Scene Recognition
Scene recognition is currently one of the top-challenging research fields in computer vision. This may be due to the ambiguity between classes: images of several scene classes may share similar objects, which causes conf…
Scene ClassificationScene RecognitionSemantic SegmentationReceptive-field-regularized CNN variants for acoustic scene classification
Acoustic scene classification and related tasks have been dominated by Convolutional Neural Networks (CNNs). Top-performing CNNs use mainly audio spectograms as input and borrow their architectural design primarily from …
Acoustic Scene ClassificationClassificationGeneral ClassificationScene ClassificationExploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification
Distribution mismatches between the data seen at training and at application time remain a major challenge in all application areas of machine learning. We study this problem in the context of machine listening (Task 1b …
Acoustic Scene ClassificationBIG-bench Machine LearningDomain AdaptationGeneral Classification+1Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification
We deal with the problem of information fusion driven satellite image/scene classification and propose a generic hallucination architecture considering that all the available sensor information are present during trainin…
ClassificationDecision MakingGeneral ClassificationHallucination+7Multiple instance dense connected convolution neural network for aerial image scene classification
With the development of deep learning, many state-of-the-art natural image scene classification methods have demonstrated impressive performance. While the current convolution neural network tends to extract global featu…
General ClassificationScene ClassificationScene Classification in Indoor Environments for Robots using Context Based Word Embeddings
Scene Classification has been addressed with numerous techniques in computer vision literature. However, with the increasing number of scene classes in datasets in the field, it has become difficult to achieve high accur…
ClassificationGeneral ClassificationScene ClassificationWord EmbeddingsMultiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning
The importance of wild video based image set recognition is becoming monotonically increasing. However, the contents of these collected videos are often complicated, and how to efficiently perform set modeling and featur…
ClassificationEmotion RecognitionFace RecognitionGeneral Classification+3City classification from multiple real-world sound scenes
The majority of sound scene analysis work focuses on one of two clearly defined tasks: acoustic scene classification or sound event detection. Whilst this separation of tasks is useful for problem definition, they inhere…
Acoustic Scene ClassificationClassificationEvent DetectionMulti-Task Learning+2Integrating the Data Augmentation Scheme with Various Classifiers for Acoustic Scene Modeling
This technical report describes the IOA team's submission for TASK1A of DCASE2019 challenge. Our acoustic scene classification (ASC) system adopts a data augmentation scheme employing generative adversary networks. Two m…
Acoustic Scene ClassificationData AugmentationScene ClassificationAcoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge
In this report, the Brno University of Technology (BUT) team submissions for Task 1 (Acoustic Scene Classification, ASC) of the DCASE-2019 challenge are described. Also, the analysis of different methods is provided. The…
Acoustic Scene ClassificationScene ClassificationSpeaker VerificationThe Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification
Convolutional Neural Networks (CNNs) have had great success in many machine vision as well as machine audition tasks. Many image recognition network architectures have consequently been adapted for audio processing tasks…
Acoustic Scene ClassificationGeneral ClassificationScene ClassificationDeep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles
Unmanned Aerial Vehicles (UAVs), equipped with camera sensors can facilitate enhanced situational awareness for many emergency response and disaster management applications since they are capable of operating in remote a…
Aerial Scene ClassificationGeneral Classificationimage-classificationImage Classification+2