Papers Scene Classification
“Scene Classification” 태그가 달린 논문 497편 · 필터 해제
Nearest Neighbor Based Out-of-Distribution Detection in Remote Sensing Scene Classification
Deep learning models for image classification are typically trained under the "closed-world" assumption with a predefined set of image classes. However, when the models are deployed they may be faced with input images no…
Classificationimage-classificationImage ClassificationOut-of-Distribution Detection+2Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective
We aim at advancing blind image quality assessment (BIQA), which predicts the human perception of image quality without any reference information. We develop a general and automated multitask learning scheme for BIQA to …
Image Quality AssessmentNo-Reference Image Quality AssessmentScene ClassificationCreating Ensembles of Classifiers through UMDA for Aerial Scene Classification
Aerial scene classification, which aims to semantically label remote sensing images in a set of predefined classes (e.g., agricultural, beach, and harbor), is a very challenging task in remote sensing due to high intra-c…
Aerial Scene ClassificationClassificationimage-classificationImage Classification+2Remote Sensing Scene Classification with Masked Image Modeling (MIM)
Remote sensing scene classification has been extensively studied for its critical roles in geological survey, oil exploration, traffic management, earthquake prediction, wildfire monitoring, and intelligence monitoring. …
ClassificationEarthquake predictionManagementScene Classification+1Incremental Learning of Acoustic Scenes and Sound Events
In this paper, we propose a method for incremental learning of two distinct tasks over time: acoustic scene classification (ASC) and audio tagging (AT). We use a simple convolutional neural network (CNN) model as an incr…
Acoustic Scene ClassificationAudio TaggingIncremental LearningKnowledge Distillation+1A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification
This work proposes a novel approach that uses a semantic segmentation mask to obtain a 2D spatial layout of the segmentation-categories across the scene, designated by segmentation-based semantic features (SSFs). These f…
PositionScene ClassificationSegmentationSemantic SegmentationShort-Term Memory Convolutions
The real-time processing of time series signals is a critical issue for many real-life applications. The idea of real-time processing is especially important in audio domain as the human perception of sound is sensitive …
Acoustic Scene ClassificationScene ClassificationSpeech SeparationTime Series+1Self-Supervised In-Domain Representation Learning for Remote Sensing Image Scene Classification
Transferring the ImageNet pre-trained weights to the various remote sensing tasks has produced acceptable results and reduced the need for labeled samples. However, the domain differences between ground imageries and rem…
Land Cover ClassificationRepresentation LearningScene ClassificationSelf-Supervised Learning+1Universal Domain Adaptation for Remote Sensing Image Scene Classification
The domain adaptation (DA) approaches available to date are usually not well suited for practical DA scenarios of remote sensing image classification, since these methods (such as unsupervised DA) rely on rich prior know…
ClassificationDomain Adaptationimage-classificationImage Classification+3Evaluation of the potential of Near Infrared Hyperspectral Imaging for monitoring the invasive brown marmorated stink bug
The brown marmorated stink bug (BMSB), Halyomorpha halys, is an invasive insect pest of global importance that damages several crops, compromising agri-food production. Field monitoring procedures are fundamental to perf…
ManagementScene ClassificationVariable SelectionRobust Remote Sensing Scene Classification with Multi-View Voting and Entropy Ranking
Deep convolutional neural networks have been widely used in scene classification of remotely sensed images. In this work, we propose a robust learning method for the task that is secure against partially incorrect catego…
Scene ClassificationCredible Remote Sensing Scene Classification Using Evidential Fusion on Aerial-Ground Dual-view Images
Due to their ability to offer more comprehensive information than data from a single view, multi-view (multi-source, multi-modal, multi-perspective, etc.) data are being used more frequently in remote sensing tasks. Howe…
Decision MakingScene ClassificationReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning
Diverse visual stimuli can evoke various human affective states, which are usually manifested in an individual's muscular actions and facial expressions. In lab-controlled emotion datasets, such a critical component …
Action Unit DetectionContrastive LearningFacial Action Unit DetectionFacial Expression Recognition+2Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification
Audio-Visual scene understanding is a challenging problem due to the unstructured spatial-temporal relations that exist in the audio signals and spatial layouts of different objects and various texture patterns in the vi…
Scene ClassificationScene RecognitionScene UnderstandingAI Security for Geoscience and Remote Sensing: Challenges and Future Trends
Recent advances in artificial intelligence (AI) have significantly intensified research in the geoscience and remote sensing (RS) field. AI algorithms, especially deep learning-based ones, have been developed and applied…
Adversarial AttackBackdoor AttackDenoisingEarth Observation+6One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning
Reliance on vast annotations to achieve leading performance severely restricts the practicality of large-scale point cloud semantic segmentation. For the purpose of reducing data annotation costs, effective labeling sche…
Active LearningScene ClassificationSemantic SegmentationSpectNet : End-to-End Audio Signal Classification Using Learnable Spectrograms
Pattern recognition from audio signals is an active research topic encompassing audio tagging, acoustic scene classification, music classification, and other areas. Spectrogram and mel-frequency cepstral coefficients (MF…
Acoustic Scene ClassificationAnomaly DetectionAudio ClassificationAudio Tagging+4Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Recent years have witnessed the great success of deep learning algorithms in the geoscience and remote sensing realm. Nevertheless, the security and robustness of deep learning models deserve special attention when addre…
Backdoor Attackbackdoor defenseData PoisoningDeep Learning+2Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification
Road-safety inspection is an indispensable instrument for reducing road-accident fatalities contributed to road infrastructure. Recent work formalizes road-safety assessment in terms of carefully selected risk factors th…
AttributeScene ClassificationSemantic SegmentationCochlScene: Acquisition of acoustic scene data using crowdsourcing
This paper describes a pipeline for collecting acoustic scene data by using crowdsourcing. The detailed process of crowdsourcing is explained, including planning, validation criteria, and actual user interfaces. As a res…
Acoustic Scene ClassificationScene Classification