Revealing Event Saliency in Unconstrained Video Collection

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Advanced Deep-Learning Techniques for Salient and Category-Specific Object Detection: A Survey (2018, background): “As an emerging branch of SOD, cosaliency detection [92]–[94] and event saliency detection [95] approaches could also be possible ways for detecting unseen objects/events, because they can learn from any given group of images/videos that contain the co-occurring but unknown objects/events.”
Rotation-Insensitive and Context-Augmented Object Detection in Remote Sensing Images (2018, background): “Deep learning has achieved a signiﬁcant improvement in various image processing techiniques [1]–[6], and object detection with deep-learning methods has recently attracted a great deal of research interest and has achieved the state-of-the-art performance.”
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection (2017, background): “, 2017), and detect common salient events in a collection of videos (Zhang et al., 2017).”
Video Salient Object Detection via Fully Convolutional Networks (2017, background): “event with video sequences [40] or scene understand-”
CNNs-Based RGB-D Saliency Detection via Cross-View Transfer and Multiview Fusion (2018, background): “, co-saliency detection [52], [53], [55], video saliency detection [54], and”