Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
SOAT: A Scene- and Object-Aware Transformer for Vision-and-Language Navigation
Natural language instructions for visual navigation often use scene descriptions (e.g., "bedroom") and object references (e.g., "green chairs") to provide a breadcrumb trail to a goal location. This work presents a trans…
ObjectScene ClassificationVision and Language NavigationVisual NavigationTowards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning
The deployment of machine listening algorithms in real-life applications is often impeded by a domain shift caused for instance by different microphone characteristics. In this paper, we propose a novel domain adaptation…
Acoustic Scene ClassificationDisentanglementDomain AdaptationScene Classification+1Leveraging Local Temporal Information for Multimodal Scene Classification
Robust video scene classification models should capture the spatial (pixel-wise) and temporal (frame-wise) characteristics of a video effectively. Transformer models with self-attention which are designed to get contextu…
ClassificationScene ClassificationVideo UnderstandingAdversarial Domain Adaptation with Paired Examples for Acoustic Scene Classification on Different Recording Devices
In classification tasks, the classification accuracy diminishes when the data is gathered in different domains. To address this problem, in this paper, we investigate several adversarial models for domain adaptation (DA)…
Acoustic Scene ClassificationClassificationDomain AdaptationScene ClassificationA Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer
We propose a variational Bayesian (VB) approach to learning distributions of latent variables in deep neural network (DNN) models for cross-domain knowledge transfer, to address acoustic mismatches between training and t…
Acoustic Scene ClassificationScene ClassificationTransfer LearningASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition
Indoor scene images usually contain scattered objects and various scene layouts, which make RGB-D scene classification a challenging task. Existing methods still have limitations for classifying scene images with great s…
feature selectionScene ClassificationScene RecognitionEvaluating the Adversarial Robustness of a Foveated Texture Transform Module in a CNN
Biologically inspired mechanisms such as foveation and multiple fixation points have previously been shown to help alleviate adversarial examples (Reddy et al., 2020). By mimicking the effects of visual crowding present …
Adversarial RobustnessFoveationScene ClassificationTexture SynthesisSGMNet: Scene Graph Matching Network for Few-Shot Remote Sensing Scene Classification
Few-Shot Remote Sensing Scene Classification (FSRSSC) is an important task, which aims to recognize novel scene classes with few examples. Recently, several studies attempt to address the FSRSSC problem by following few-…
graph constructionGraph Matchingimage-classificationImage Classification+2Visually Exploring Multi-Purpose Audio Data
We analyse multi-purpose audio using tools to visualise similarities within the data that may be observed via unsupervised methods. The success of machine learning classifiers is affected by the information contained wit…
Acoustic Scene ClassificationClassificationScene ClassificationAn evaluation of data augmentation methods for sound scene geotagging
Sound scene geotagging is a new topic of research which has evolved from acoustic scene classification. It is motivated by the idea of audio surveillance. Not content with only describing a scene in a recording, a machin…
Acoustic Scene ClassificationClassificationData AugmentationScene ClassificationGeneralized Scene Classification from Small-Scale Datasets with Multi-Task Learning
Remote sensing images contain a wealth of spatial information. Efficient scene classification is a necessary precedent step for further application. Despite the great practical value, the mainstream methods using deep co…
ClassificationMulti-Task LearningScene ClassificationSemantic SegmentationFairness and underspecification in acoustic scene classification: The case for disaggregated evaluations
Underspecification and fairness in machine learning (ML) applications have recently become two prominent issues in the ML community. Acoustic scene classification (ASC) applications have so far remained unaffected by thi…
Acoustic Scene ClassificationFairnessScene ClassificationTowards Robust Domain Generalization in 2D Neural Audio Processing
While using two-dimensional convolutional neural networks (2D-CNNs) in image processing, it is possible to manipulate domain information using channel statistics, and instance normalization has been a promising way to ge…
Acoustic Scene ClassificationDomain GeneralizationKeyword SpottingScene Classification+1An embarrassingly simple comparison of machine learning algorithms for indoor scene classification
With the emergence of autonomous indoor robots, the computer vision task of indoor scene recognition has gained the spotlight. Indoor scene recognition is a challenging problem in computer vision that relies on local and…
BIG-bench Machine LearningClassificationScene ClassificationScene RecognitionRobust Feature Learning on Long-Duration Sounds for Acoustic Scene Classification
Acoustic scene classification (ASC) aims to identify the type of scene (environment) in which a given audio signal is recorded. The log-mel feature and convolutional neural network (CNN) have recently become the most pop…
Acoustic Scene ClassificationScene ClassificationRobust Acoustic Scene Classification in the Presence of Active Foreground Speech
We present an iVector based Acoustic Scene Classification (ASC) system suited for real life settings where active foreground speech can be present. In the proposed system, each recording is represented by a fixed-length …
Acoustic Scene ClassificationScene ClassificationEnhancing Social Relation Inference with Concise Interaction Graph and Discriminative Scene Representation
There has been a recent surge of research interest in attacking the problem of social relation inference based on images. Existing works classify social relations mainly by creating complicated graphs of human interactio…
Contrastive Learningdomain classificationRelationScene ClassificationTask 1A DCASE 2021: Acoustic Scene Classification with mismatch-devices using squeeze-excitation technique and low-complexity constraint
Acoustic scene classification (ASC) is one of the most popular problems in the field of machine listening. The objective of this problem is to classify an audio clip into one of the predefined scenes using only the audio…
Acoustic Scene ClassificationScene ClassificationSqueeze-Excitation Convolutional Recurrent Neural Networks for Audio-Visual Scene Classification
The use of multiple and semantically correlated sources can provide complementary information to each other that may not be evident when working with individual modalities on their own. In this context, multi-modal model…
Scene ClassificationOver-Parameterization and Generalization in Audio Classification
Convolutional Neural Networks (CNNs) have been dominating classification tasks in various domains, such as machine vision, machine listening, and natural language processing. In machine listening, while generally exhibit…
Acoustic Scene ClassificationAudio ClassificationClassificationScene Classification