Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion
The availability of curated large-scale training data is a crucial factor for the development of well-generalizing deep learning methods for the extraction of geoinformation from multi-sensor remote sensing imagery. Whil…
Cloud ComputingDiversityScene ClassificationSemantic SegmentationFew-Shot Learning with Per-Sample Rich Supervision
Learning with few samples is a major challenge for parameter-rich models like deep networks. In contrast, people learn complex new concepts even from very few examples, suggesting that the sample complexity of learning c…
Few-Shot LearningGeneral ClassificationMeta-LearningScene ClassificationCNN depth analysis with different channel inputs for Acoustic Scene Classification
Acoustic scene classification (ASC) has been approached in the last years using deep learning techniques such as convolutional neural networks or recurrent neural networks. Many state-of-the-art solutions are based on im…
Acoustic Scene ClassificationAudio ClassificationGeneral Classificationimage-classification+2Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding
Single image depth estimation (SIDE) plays a crucial role in 3D computer vision. In this paper, we propose a two-stage robust SIDE framework that can perform blind SIDE for both indoor and outdoor scenes. At the first st…
Depth EstimationGeneral ClassificationScene ClassificationScene UnderstandingDynamic Traffic Scene Classification with Space-Time Coherence
This paper examines the problem of dynamic traffic scene classification under space-time variations in viewpoint that arise from video captured on-board a moving vehicle. Solutions to this problem are important for reali…
ClassificationGeneral ClassificationScene ClassificationSemantic Fisher Scores for Task Transfer: Using Objects to Classify Scenes
The transfer of a neural network (CNN) trained to recognize objects to the task of scene classification is considered. A Bag-of-Semantics (BoS) representation is first induced, by feeding scene image patches to the objec…
ClassificationGeneral ClassificationObjectScene ClassificationUnsupervised Adversarial Domain Adaptation Based On The Wasserstein Distance For Acoustic Scene Classification
A challenging problem in deep learning-based machine listening field is the degradation of the performance when using data from unseen conditions. In this paper we focus on the acoustic scene classification (ASC) task an…
Acoustic Scene ClassificationClassificationDeep LearningDomain Adaptation+3Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
Compared with global average pooling in existing deep convolutional neural networks (CNNs), global covariance pooling can capture richer statistics of deep features, having potential for improving representation and gene…
Fine-Grained Visual RecognitionGeneral ClassificationGPUImage Classification+2Acoustic Scene Classification by Implicitly Identifying Distinct Sound Events
In this paper, we propose a new strategy for acoustic scene classification (ASC) , namely recognizing acoustic scenes through identifying distinct sound events. This differs from existing strategies, which focus on chara…
Acoustic Scene ClassificationClassificationGeneral ClassificationScene ClassificationHeterogeneous Multi-task Metric Learning across Multiple Domains
Distance metric learning (DML) plays a crucial role in diverse machine learning algorithms and applications. When the labeled information in target domain is limited, transfer metric learning (TML) helps to learn the met…
Metric LearningScene ClassificationText CategorizationTransfer LearningSpatio-Temporal Attention Pooling for Audio Scene Classification
Acoustic scenes are rich and redundant in their content. In this work, we present a spatio-temporal attention pooling layer coupled with a convolutional recurrent neural network to learn from patterns that are discrimina…
Acoustic Scene ClassificationClassificationData AugmentationGeneral Classification+1Equivariant Multi-View Networks
Several popular approaches to 3D vision tasks process multiple views of the input independently with deep neural networks pre-trained on natural images, achieving view permutation invariance through a single round of poo…
3D Shape Classification3D Shape RetrievalRetrievalScene ClassificationRotated Feature Network for multi-orientation object detection
General detectors follow the pipeline that feature maps extracted from ConvNets are shared between classification and regression tasks. However, there exists obvious conflicting requirements in multi-orientation object d…
ClassificationDecoderGeneral ClassificationObject+4Complex Scene Classification of PolSAR Imagery based on a Self-paced Learning Approach
Existing polarimetric synthetic aperture radar (PolSAR) image classification methods cannot achieve satisfactory performance on complex scenes characterized by several types of land cover with significant levels of noise…
General Classificationimage-classificationImage ClassificationScene ClassificationUnderstanding and Visualizing Deep Visual Saliency Models
Recently, data-driven deep saliency models have achieved high performance and have outperformed classical saliency models, as demonstrated by results on datasets such as the MIT300 and SALICON. Yet, there remains a large…
Object RecognitionSaliency PredictionScene ClassificationDeep Discriminative Representation Learning with Attention Map for Scene Classification
Learning powerful discriminative features for remote sensing image scene classification is a challenging computer vision problem. In the past, most classification approaches were based on handcrafted features. However, m…
ClassificationFace RecognitionGeneral ClassificationRepresentation Learning+1BigEarthNet: A Large-Scale Benchmark Archive For Remote Sensing Image Understanding
This paper presents the BigEarthNet that is a new large-scale multi-label Sentinel-2 benchmark archive. The BigEarthNet consists of 590,326 Sentinel-2 image patches, each of which is a section of i) 120x120 pixels for 10…
Multi-Label Image ClassificationScene ClassificationJoint Spatial and Layer Attention for Convolutional Networks
In this paper, we propose a novel approach that learns to sequentially attend to different Convolutional Neural Networks (CNN) layers (i.e., ``what'' feature abstraction to attend to) and different spatial locations of t…
Camera LocalizationClassificationGeneral ClassificationScene ClassificationEnhancing Sound Texture in CNN-Based Acoustic Scene Classification
Acoustic scene classification is the task of identifying the scene from which the audio signal is recorded. Convolutional neural network (CNN) models are widely adopted with proven successes in acoustic scene classificat…
Acoustic Scene ClassificationClassificationGeneral ClassificationScene ClassificationA Remote Sensing Image Dataset for Cloud Removal
Cloud-based overlays are often present in optical remote sensing images, thus limiting the application of acquired data. Removing clouds is an indispensable pre-processing step in remote sensing image analysis. Deep lear…
Change DetectionCloud RemovalDeep LearningScene Classification