SOTAVerified

Event Detection

Papers

Showing 126–150 of 940 papers

TitleStatusHype
Exploring Text-Queried Sound Event Detection with Audio Source SeparationCode1
Leveraging LLM and Text-Queried Separation for Noise-Robust Sound Event DetectionCode1
ATCON: Attention Consistency for Vision ModelsCode1
ROAD-Waymo: Action Awareness at Scale for Autonomous DrivingCode1
CNN Architectures for Large-Scale Audio ClassificationCode1
A Hybrid System of Sound Event Detection Transformer and Frame-wise Model for DCASE 2022 Task 4Code1
Data Efficient Video Transformer for Violence DetectionCode1
DCASENET: A joint pre-trained deep neural network for detecting and classifying acoustic scenes and eventsCode1
A Support Platform for Event Detection using Social Intelligence—0
AST-SED: An Effective Sound Event Detection Method Based on Audio Spectrogram Transformer—0
Aggregation Strategies for Efficient Annotation of Bioacoustic Sound Events Using Active Learning—0
ASSED -- A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering—0
A Solid-State Nanopore Signal Generator for Training Machine Learning Models—0
A General Method for Event Detection on Social Media—0
A Computational Framework for Multi-Modal Social Action Identification—0
A Sequence Matching Network for Polyphonic Sound Event Localization and Detection—0
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data—0
A Generalized Approach to Protest Event Detection in German Local News—0
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels—0
A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection—0
A French Corpus for Event Detection on Twitter—0
A comprehensive study of sparse codes on abnormality detection—0
Abnormal Event Detection in Videos using Generative Adversarial Nets—0
AS-70: A Mandarin stuttered speech dataset for automatic speech recognition and stuttering event detection—0
A Fiber Measurement System with Approximate Deconvolution Based on the Analysis of Fault Clusters in Linearized Bregman Iterations—0
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