Scalable and accurate self-supervised multimodal representation learning without aligned video and text data
Scaling up weakly-supervised datasets has shown to be highly effective in the image-text
domain and has contributed to most of the recent state-of-the-art computer vision and …
domain and has contributed to most of the recent state-of-the-art computer vision and …
A comprehensive review on recent methods and challenges of video description
Video description involves the generation of the natural language description of actions,
events, and objects in the video. There are various applications of video description by filling …
events, and objects in the video. There are various applications of video description by filling …
Deep learning based video captioning in bengali
Generating meaningful textual descriptions from visual contents having the context in
consideration is very challenging in terms of Natural Language Processing (NLP) and …
consideration is very challenging in terms of Natural Language Processing (NLP) and …
Automatic generation of natural language descriptions of visual data: describing images and videos using recurrent and self-attentive models
P Harzig - 2022 - opus.bibliothek.uni-augsburg.de
Humans are faced with a constant flow of visual stimuli, eg, from the environment or when
looking at social media. In contrast, visually-impaired people are often incapable to perceive …
looking at social media. In contrast, visually-impaired people are often incapable to perceive …
[PDF][PDF] A Comprehensive Review on Recent Methods and Challenges of Video
A SINGH, TD SINGH… - arXiv preprint arXiv …, 2020 - academia.edu
Authors' address: Alok Singh, alok_rs@ cse. nits. ac. in; Thoudam Doren Singh, doren@
cse. nits. ac. in; Sivaji Bandyopadhyay, sivaji. cse. ju@ gmail. com, Centre for Natural …
cse. nits. ac. in; Sivaji Bandyopadhyay, sivaji. cse. ju@ gmail. com, Centre for Natural …