The embedding of movies is a bit more complicated. The original plot texts of different movies have different lengths, and for the convenience of model learning, we remove the deactivated words and then unify the plot texts of all movies into 300 words by padding. The movies are also embedded...
MovieCLIP: "MovieCLIP: Visual Scene Recognition in Movies", WACV, 2023 (USC). [Paper][Website] X-supervised Learning: LSTCL: "Long-Short Temporal Contrastive Learning of Video Transformers", CVPR, 2022 (Facebook). [Paper] SVT: "Self-supervised Video Transformer", CVPR, 2022 (Stony Brook...
The reduction of the mask region will allow to speed up significantly the inference, expecially on HD movies, but the region must be big enough to allow the inference. In the case of bad output it will be necessary to increase its size. Disable scene detection by setting sc_threshold=0 (...
aAn Apple ID is the login you use for just about everything you do with Apple, including using iCloud to store your content, downloading apps from the App Store, and buying songs, movies, and TV shows from the iTunes Store. 苹果计算机公司ID是您为一切使用您做与苹果计算机公司的注册,包括...
of 2 William 3 Shakespeare 4 inspired 5 many 6 movies 7 ... ...The longer a text or sequence, the larger the index values may become. Though using unique values for each position in a text is a simple approach, the values would hold no meaning, and the growing values may create ins...
aAn Apple ID is the login you use for just about everything you do with Apple, including using iCloud to store your content, downloading apps from the App Store, and buying songs, movies, and TV shows from the iTunes Store 苹果计算机公司ID是您为一切使用您做与苹果计算机公司的注册,包括...
HMDB-5161was released around the same time as UCF-101. The dataset contains roughly 5k videos belonging to 51 distinct action classes. Each class in the dataset holds at least 100 videos. The videos are collected from a multiple sources, for example, movies and online videos. ...
Zhu, Y., et al.: Aligning books and movies: towards story-like visual explanations by watching movies and reading books. arXiv preprint Acknowledgments The experiments were run on a server equipped with 4 Nvidia P100 GPUs, partly funded by the University of Pisa under grant “Grandi Attrezzatur...
Running this command will create a directory for the method in bert_models/movies/<method_name>. In order to run f1 test with k, run the following command: PYTHONPATH=./:$PYTHONPATH python3 BERT_rationale_benchmark/metrics.py --data_dir data/movies/ --split test --results bert_models/...
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