Papers Event Detection
“Event Detection” 태그가 달린 논문 940편 · 필터 해제
Frequency Dynamic Convolutions for Sound Event Detection
Recent research in deep learning-based Sound Event Detection (SED) has primarily focused on Convolutional Recurrent Neural Networks (CRNNs) and Transformer models. However, conventional 2D convolution-based models assume…
ARCEvent DetectionSound Event DetectionDiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning
Zero-shot Event Detection (ED), the task of identifying event mentions in natural language text without any training data, is critical for document understanding in specialized domains. Understanding the complex event on…
document understandingEvent DetectionTransfer LearningTowards real-time assessment of infrasound event detection capability using deep learning-based transmission loss estimation
Accurate modeling of infrasound transmission loss is essential for evaluating the performance of the International Monitoring System, enabling the effective design and maintenance of infrasound stations to support compli…
Event DetectionDIAMOND: An LLM-Driven Agent for Context-Aware Baseball Highlight Summarization
Traditional approaches -- such as Win Probability Added (WPA)-based ranking or computer vision-driven event detection -- can identify scoring plays but often miss strategic depth, momentum shifts, and storyline progressi…
Event DetectionSports AnalyticsHybrid Disagreement-Diversity Active Learning for Bioacoustic Sound Event Detection
Bioacoustic sound event detection (BioSED) is crucial for biodiversity conservation but faces practical challenges during model development and training: limited amounts of annotated data, sparse events, species diversit…
Active LearningDiversityEvent DetectionSound Event DetectionCosyVoice 3: Towards In-the-wild Speech Generation via Scaling-up and Post-training
In our prior works, we introduced a scalable streaming speech synthesis model, CosyVoice 2, which integrates a large language model (LLM) and a chunk-aware flow matching (FM) model, and achieves low-latency bi-streaming …
Automatic Speech RecognitionEmotion RecognitionEvent DetectionLanguage Identification+5Exploring the Potential of SSL Models for Sound Event Detection
Self-supervised learning (SSL) models offer powerful representations for sound event detection (SED), yet their synergistic potential remains underexplored. This study systematically evaluates state-of-the-art SSL models…
Event DetectionModel SelectionSelf-Supervised LearningSound Event DetectionMultimodal Event Detection: Current Approaches and Defining the New Playground through LLMs and VLMs
In this paper, we study the challenges of detecting events on social media, where traditional unimodal systems struggle due to the rapid and multimodal nature of data dissemination. We employ a range of models, including…
Event DetectionHybrid Spiking Vision Transformer for Object Detection with Event Cameras
Event-based object detection has gained increasing attention due to its advantages such as high temporal resolution, wide dynamic range, and asynchronous address-event representation. Leveraging these advantages, Spiking…
Event DetectionObjectobject-detectionObject DetectionGameplay Highlights Generation
In this work, we enable gamers to share their gaming experience on social media by automatically generating eye-catching highlight reels from their gameplay session Our automation will save time for gamers while increasi…
Event DetectionHighlight DetectionOptical Character Recognition (OCR)Prompt Engineering+3Action Spotting and Precise Event Detection in Sports: Datasets, Methods, and Challenges
Video event detection has become an essential component of sports analytics, enabling automated identification of key moments and enhancing performance analysis, viewer engagement, and broadcast efficiency. Recent advanc…
Action LocalizationAction SpottingEvent DetectionKnowledge Distillation+4Adaptive PCA-Based Outlier Detection for Multi-Feature Time Series in Space Missions
Analyzing multi-featured time series data is critical for space missions making efficient event detection, potentially onboard, essential for automatic analysis. However, limited onboard computational resources and data …
Event DetectionOutlier DetectionTime SeriesTemporal Attention Pooling for Frequency Dynamic Convolution in Sound Event Detection
Recent advances in deep learning, particularly frequency dynamic convolution (FDY conv), have significantly improved sound event detection (SED) by enabling frequency-adaptive feature extraction. However, FDY conv relies…
Event DetectionSound Event DetectionCST-former: Multidimensional Attention-based Transformer for Sound Event Localization and Detection in Real Scenes
Sound event localization and detection (SELD) is a task for the classification of sound events and the identification of direction of arrival (DoA) utilizing multichannel acoustic signals. For effective classification an…
Event DetectionSound Event Localization and DetectionPrivacy-Preserving Operating Room Workflow Analysis using Digital Twins
Purpose: The operating room (OR) is a complex environment where optimizing workflows is critical to reduce costs and improve patient outcomes. The use of computer vision approaches for the automatic recognition of periop…
Depth EstimationEvent DetectionPrivacy PreservingSemantic SegmentationReal-time Object and Event Detection Service through Computer Vision and Edge Computing
The World Health Organization suggests that road traffic crashes cost approximately 518 billion dollars globally each year, which accounts for 3% of the gross domestic product for most countries. Most fatal road accident…
Edge-computingEvent DetectionF$^3$Set: Towards Analyzing Fast, Frequent, and Fine-grained Events from Videos
Analyzing Fast, Frequent, and Fine-grained (F$^3$) events presents a significant challenge in video analytics and multi-modal LLMs. Current methods struggle to identify events that satisfy all the F$^3$ criteria with hig…
Action UnderstandingEvent DetectionVideo UnderstandingPETNet -- Coincident Particle Event Detection using Spiking Neural Networks
Spiking neural networks (SNN) hold the promise of being a more biologically plausible, low-energy alternative to conventional artificial neural networks. Their time-variant nature makes them particularly suitable for pro…
Event DetectionA Solid-State Nanopore Signal Generator for Training Machine Learning Models
Translocation event detection from raw nanopore current signals is a fundamental step in nanopore signal analysis. Traditional data analysis methods rely on user-defined parameters to extract event information, making th…
BenchmarkingEvent DetectionFormula-Supervised Sound Event Detection: Pre-Training Without Real Data
In this paper, we propose a novel formula-driven supervised learning (FDSL) framework for pre-training an environmental sound analysis model by leveraging acoustic signals parametrically synthesized through formula-drive…
Event DetectionSound Event Detection