Results 231 to 240 of about 176,660 (282)

CAM-RNN: Co-Attention Model Based RNN for Video Captioning

IEEE Transactions on Image Processing, 2019
Video captioning is a technique that bridges vision and language together, for which both visual information and text information are quite important. Typical approaches are based on the recurrent neural network (RNN), where the video caption is generated word by word, and the current word is predicted based on the visual content and previously ...
Bin Zhao, Xuelong Li, Xiaoqiang Lu
exaly   +3 more sources

MM-RNN: A Multimodal RNN for Precipitation Nowcasting

IEEE Transactions on Geoscience and Remote Sensing, 2023
Zhifeng Ma, Hao Zhang
exaly   +2 more sources

HSA-RNN: Hierarchical Structure-Adaptive RNN for Video Summarization

2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018
Although video summarization has achieved great success in recent years, few approaches have realized the influence of video structure on the summarization results. As we know, the video data follow a hierarchical structure, i.e., a video is composed of shots, and a shot is composed of several frames.
Bin Zhao, Xuelong Li, Xiaoqiang Lu
openaire   +1 more source

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