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Found 4 papers, 1 papers with code
Machine Learning-based Approach for Ex-post Assessment of Community Risk and Resilience Based on Coupled Human-infrastructure Systems Performance
To address this gap, in this study we created a machine learning-based method for the ex-post assessment of community risk and resilience and their interplay based on features related to the coupled human-infrastructure systems performance.
Visual Commonsense-aware Representation Network for Video Captioning
Generating consecutive descriptions for videos, i. e., Video Captioning, requires taking full advantage of visual representation along with the generation process.
Hierarchical LSTMs with Adaptive Attention for Visual Captioning
Also, a hierarchical LSTMs is designed to simultaneously consider both low-level visual information and high-level language context information to support the caption generation.
Self-Supervised Video Hashing with Hierarchical Binary Auto-encoder
Existing video hash functions are built on three isolated stages: frame pooling, relaxed learning, and binarization, which have not adequately explored the temporal order of video frames in a joint binary optimization model, resulting in severe information loss.
