Event Detection
190 papers with code • 2 benchmarks • 7 datasets
Benchmarks
These leaderboards are used to track progress in Event Detection
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Libraries
Use these libraries to find Event Detection models and implementations
ROAD
MAVEN-ERE
OpenTTGames
Brazilian Protest
MUSIED
Most implemented papers
CNN Architectures for Large-Scale Audio Classification
towhee-io/towhee
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Convolutional Neural Networks (CNNs) have proven very effective in image classification and show promise for audio.
Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks
UKPLab/emnlp2017-bilstm-cnn-crf
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Selecting optimal parameters for a neural network architecture can often make the difference between mediocre and state-of-the-art performance.
Abnormal Event Detection in Videos using Spatiotemporal Autoencoder
ShrishtiHore/Anomaly-Detection-in-CCTV-Surveillance-Videos
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We present an efficient method for detecting anomalies in videos.
What Makes Training Multi-Modal Classification Networks Hard?
facebookresearch/R2Plus1D
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CVPR 2020
Consider end-to-end training of a multi-modal vs. a single-modal network on a task with multiple input modalities: the multi-modal network receives more information, so it should match or outperform its single-modal counterpart.
Recurrent Neural Networks for Polyphonic Sound Event Detection in Real Life Recordings
yardencsGitHub/tf_syllable_segmentation_annotation
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In this paper we present an approach to polyphonic sound event detection in real life recordings based on bi-directional long short term memory (BLSTM) recurrent neural networks (RNNs).
Adaptive pooling operators for weakly labeled sound event detection
marl/autopool
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In this work, we treat SED as a multiple instance learning (MIL) problem, where training labels are static over a short excerpt, indicating the presence or absence of sound sources but not their temporal locality.
Literary Event Detection
In this work we present a new dataset of literary events{---}events that are depicted as taking place within the imagined space of a novel.
Embed2Detect: Temporally Clustered Embedded Words for Event Detection in Social Media
Social media is becoming a primary medium to discuss what is happening around the world.
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Following the standard formulation of abnormal event detection as outlier detection, we propose a background-agnostic framework that learns from training videos containing only normal events.
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection
Conventional NN-based methods use two branches for a sound event detection (SED) target and a direction-of-arrival (DOA) target.
