Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Artistic Object Recognition by Unsupervised Style Adaptation
Computer vision systems currently lack the ability to reliably recognize artistically rendered objects, especially when such data is limited. In this paper, we propose a method for recognizing objects in artistic modalit…
Domain AdaptationObjectObject RecognitionScene Classification+1Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection
Multi-Task Learning (MTL) is appealing for deep learning regularization. In this paper, we tackle a specific MTL context denoted as primary MTL, where the ultimate goal is to improve the performance of a given primary ta…
Depth EstimationDepth PredictionMulti-Task Learningobject-detection+3Scene Categorization from Contours: Medial Axis Based Salience Measures
The computer vision community has witnessed recent advances in scene categorization from images, with the state-of-the art systems now achieving impressive recognition rates on challenging benchmarks such as the Places36…
General ClassificationScene ClassificationBeyond Equal-Length Snippets: How Long is Sufficient to Recognize an Audio Scene?
Due to the variability in characteristics of audio scenes, some scenes can naturally be recognized earlier than others. In this work, rather than using equal-length snippets for all scene categories, as is common in the …
General ClassificationScene ClassificationTraining neural audio classifiers with few data
We investigate supervised learning strategies that improve the training of neural network audio classifiers on small annotated collections. In particular, we study whether (i) a naive regularization of the solution space…
Acoustic Scene ClassificationGeneral ClassificationScene ClassificationTransfer LearningDeep Within-Class Covariance Analysis for Robust Deep Audio Representation Learning
Deep Neural Networks (DNNs) are known for excellent performance in supervised tasks such as classification. Convolutional Neural Networks (CNNs), in particular, can learn effective features and build high-level represent…
Acoustic Scene ClassificationClassificationRepresentation LearningScene ClassificationSiftingGAN: Generating and Sifting Labeled Samples to Improve the Remote Sensing Image Scene Classification Baseline in vitro
Lack of annotated samples greatly restrains the direct application of deep learning in remote sensing image scene classification. Although researches have been done to tackle this issue by data augmentation with various …
Data AugmentationGeneral ClassificationScene ClassificationCNNs for Surveillance Footage Scene Classification
In this project, we adapt high-performing CNN architectures to differentiate between scenes with and without abandoned luggage. Using frames from two video datasets, we compare the results of training different architect…
ClassificationGeneral ClassificationScene ClassificationCNNs-based Acoustic Scene Classification using Multi-Spectrogram Fusion and Label Expansions
Spectrograms have been widely used in Convolutional Neural Networks based schemes for acoustic scene classification, such as the STFT spectrogram and the MFCC spectrogram, etc. They have different time-frequency characte…
Acoustic Scene ClassificationClassificationGeneral ClassificationScene ClassificationHierarchy of Alternating Specialists for Scene Recognition
We introduce a method for improving convolutional neural networks (CNNs) for scene classification. We present a hierarchy of specialist networks, which disentangles the intra-class variation and inter-class similarity in…
Scene ClassificationScene RecognitionGeolocation Estimation of Photos using a Hierarchical Model and Scene Classification
While the successful estimation of a photo's geolocation enables a number of interesting applications, it is also a very challenging task. Due to the complexity of the problem, most existing approaches are restricted to …
General ClassificationImage ClassificationImage RetrievalPhoto geolocation estimation+2Unsupervised adversarial domain adaptation for acoustic scene classification
A general problem in acoustic scene classification task is the mismatched conditions between training and testing data, which significantly reduces the performance of the developed methods on classification accuracy. As …
Acoustic Scene ClassificationClassificationDomain AdaptationGeneral Classification+1Acoustic Scene Classification: A Competition Review
In this paper we study the problem of acoustic scene classification, i.e., categorization of audio sequences into mutually exclusive classes based on their spectral content. We describe the methods and results discovered…
Acoustic Scene ClassificationClassificationGeneral ClassificationScene ClassificationA multi-device dataset for urban acoustic scene classification
This paper introduces the acoustic scene classification task of DCASE 2018 Challenge and the TUT Urban Acoustic Scenes 2018 dataset provided for the task, and evaluates the performance of a baseline system in the task. A…
Acoustic Scene ClassificationClassificationScene ClassificationDeep Discriminative Model for Video Classification
This paper presents a new deep learning approach for video-based scene classification. We design a Heterogeneous Deep Discriminative Model (HDDM) whose parameters are initialized by performing an unsupervised pre-trainin…
Action RecognitionClassificationGeneral Classificationmodel+4In pixels we trust: From Pixel Labeling to Object Localization and Scene Categorization
While there has been significant progress in solving the problems of image pixel labeling, object detection and scene classification, existing approaches normally address them separately. In this paper, we propose to tac…
object-detectionObject DetectionObject LocalizationScene Classification+3Satellite Image Scene Classification via ConvNet with Context Aggregation
Scene classification is a fundamental problem to understand the high-resolution remote sensing imagery. Recently, convolutional neural network (ConvNet) has achieved remarkable performance in different tasks, and signifi…
ClassificationScene ClassificationA punishment voting algorithm based on super categories construction for acoustic scene classification
In acoustic scene classification researches, audio segment is usually split into multiple samples. Majority voting is then utilized to ensemble the results of the samples. In this paper, we propose a punishment voting al…
Acoustic Scene ClassificationClusteringGeneral ClassificationScene ClassificationTowards automatic initialization of registration algorithms using simulated endoscopy images
Registering images from different modalities is an active area of research in computer aided medical interventions. Several registration algorithms have been developed, many of which achieve high accuracy. However, these…
AnatomyScene ClassificationA Simple Fusion of Deep and Shallow Learning for Acoustic Scene Classification
In the past, Acoustic Scene Classification systems have been based on hand crafting audio features that are input to a classifier. Nowadays, the common trend is to adopt data driven techniques, e.g., deep learning, where…
Acoustic Scene ClassificationClassificationFeature EngineeringGeneral Classification+1