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Found 5 papers, 1 papers with code
OSCaR: Object State Captioning and State Change Representation
To address these challenges, in this paper, we introduce the Object State Captioning and State Change Representation (OSCaR) dataset and benchmark.
CLearViD: Curriculum Learning for Video Description
We introduce CLearViD, a transformer-based model for video description generation that leverages curriculum learning to accomplish this task.
NarrationBot and InfoBot: A Hybrid System for Automated Video Description
To overcome the increasing gaps in video accessibility, we developed a hybrid system of two tools to 1) automatically generate descriptions for videos and 2) provide answers or additional descriptions in response to user queries on a video.
Real-time Policy Distillation in Deep Reinforcement Learning
Policy distillation in deep reinforcement learning provides an effective way to transfer control policies from a larger network to a smaller untrained network without a significant degradation in performance.
DeepMoTIon: Learning to Navigate Like Humans
We present a novel human-aware navigation approach, where the robot learns to mimic humans to navigate safely in crowds.
