Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Ground-truth or DAER: Selective Re-query of Secondary Information
Many vision tasks use secondary information at inference time -- a seed -- to assist a computer vision model in solving a problem. For example, an initial bounding box is needed to initialize visual object tracking. To d…
Object TrackingScene ClassificationSemantic SegmentationVideo Object Segmentation+3Understanding the Role of Individual Units in a Deep Neural Network
Deep neural networks excel at finding hierarchical representations that solve complex tasks over large data sets. How can we humans understand these learned representations? In this work, we present network dissection, a…
Generative Adversarial Networkimage-classificationImage ClassificationImage Generation+1Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
Despite impressive advancements in Autonomous Driving Systems (ADS), navigation in complex road conditions remains a challenging problem. There is considerable evidence that evaluating the subjective risk level of variou…
Autonomous DrivingScene ClassificationCITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application
This study presents a deep learning-based speech signal-processing mobile application known as CITISEN. The CITISEN provides three functions: speech enhancement (SE), model adaptation (MA), and background noise conversio…
Acoustic Scene ClassificationData AugmentationDeep LearningScene Classification+1Deep Learning Based Open Set Acoustic Scene Classification
In this work, we compare the performance of three selected techniques in open set acoustic scenes classification (ASC). We test thresholding of the softmax output of a deep network classifier, which is the most popular t…
Acoustic Scene ClassificationClassificationDeep LearningGeneral Classification+1AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification
It is undeniable that aerial/satellite images can provide useful information for a large variety of tasks. But, since these images are always looking from above, some applications can benefit from complementary informati…
General Classificationimage-classificationImage ClassificationScene Classification+1Relational Teacher Student Learning with Neural Label Embedding for Device Adaptation in Acoustic Scene Classification
In this paper, we propose a domain adaptation framework to address the device mismatch issue in acoustic scene classification leveraging upon neural label embedding (NLE) and relational teacher student learning (RTSL). T…
Acoustic Scene ClassificationClassificationDomain AdaptationGeneral Classification+1An Acoustic Segment Model Based Segment Unit Selection Approach to Acoustic Scene Classification with Partial Utterances
In this paper, we propose a sub-utterance unit selection framework to remove acoustic segments in audio recordings that carry little information for acoustic scene classification (ASC). Our approach is built upon a unive…
Acoustic Scene ClassificationClassificationData AugmentationGeneral Classification+3DD-CNN: Depthwise Disout Convolutional Neural Network for Low-complexity Acoustic Scene Classification
This paper presents a Depthwise Disout Convolutional Neural Network (DD-CNN) for the detection and classification of urban acoustic scenes. Specifically, we use log-mel as feature representations of acoustic signals for …
Acoustic Scene ClassificationClassificationGeneral ClassificationScene ClassificationDevice-Robust Acoustic Scene Classification Based on Two-Stage Categorization and Data Augmentation
In this technical report, we present a joint effort of four groups, namely GT, USTC, Tencent, and UKE, to tackle Task 1 - Acoustic Scene Classification (ASC) in the DCASE 2020 Challenge. Task 1 comprises two different su…
Acoustic Scene ClassificationData AugmentationGeneral ClassificationQuantization+1Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines
The novelty of this study consists in a multi-modality approach to scene classification, where image and audio complement each other in a process of deep late fusion. The approach is demonstrated on a difficult classific…
Scene ClassificationCapturing scattered discriminative information using a deep architecture in acoustic scene classification
Frequently misclassified pairs of classes that share many common acoustic properties exist in acoustic scene classification (ASC). To distinguish such pairs of classes, trivial details scattered throughout the data could…
Acoustic Scene ClassificationGeneral ClassificationScene ClassificationLearning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision
The intuitive interaction between the audio and visual modalities is valuable for cross-modal self-supervised learning. This concept has been demonstrated for generic audiovisual tasks like video action recognition and a…
Acoustic Scene ClassificationAction RecognitionScene ClassificationSelf-Supervised Learning+1Channel Compression: Rethinking Information Redundancy among Channels in CNN Architecture
Model compression and acceleration are attracting increasing attentions due to the demand for embedded devices and mobile applications. Research on efficient convolutional neural networks (CNNs) aims at removing feature …
Acoustic Scene ClassificationEvent Detectionimage-classificationImage Classification+3A Transformer-based Audio Captioning Model with Keyword Estimation
One of the problems with automated audio captioning (AAC) is the indeterminacy in word selection corresponding to the audio event/scene. Since one acoustic event/scene can be described with several words, it results in a…
Acoustic Scene ClassificationAudio captioningEvent DetectionScene ClassificationOn Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances and Million-AID
The past years have witnessed great progress on remote sensing (RS) image interpretation and its wide applications. With RS images becoming more accessible than ever before, there is an increasing demand for the automati…
General ClassificationImage ClassificationScene ClassificationRemote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain
To reduce the storage requirements, remote sensing (RS) images are usually stored in compressed format. Existing scene classification approaches using deep neural networks (DNNs) require to fully decompress the images, w…
ClassificationGeneral ClassificationScene ClassificationEmergent Properties of Foveated Perceptual Systems
The goal of this work is to characterize the representational impact that foveation operations have for machine vision systems, inspired by the foveated human visual system, which has higher acuity at the center of gaze …
FoveationScene ClassificationMulti-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion
Classifying multi-temporal scene land-use categories and detecting their semantic scene-level changes for imagery covering urban regions could straightly reflect the land-use transitions. Existing methods for scene chang…
Change DetectionGeneral ClassificationScene Change DetectionScene ClassificationAcoustic scene classification in DCASE 2020 Challenge: generalization across devices and low complexity solutions
This paper presents the details of Task 1: Acoustic Scene Classification in the DCASE 2020 Challenge. The task consists of two subtasks: classification of data from multiple devices, requiring good generalization propert…
Acoustic Scene ClassificationClassificationScene Classification