Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
نویسندگان
چکیده
منابع مشابه
Video Classification via Weakly Supervised Sequence Modeling
Traditional approaches for video classification treat the entire video clip as one data instance. They extract visual features from video frames which are then quantized (e.g., K-means) and pooled (e.g., average pooling) to produce a single feature vector. Such holistic representations of videos are further used as inputs of a classifier. Despite of efficiency, global and aggregate feature repr...
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ژورنال
عنوان ژورنال: Proceedings of the AAAI Conference on Artificial Intelligence
سال: 2020
ISSN: 2374-3468,2159-5399
DOI: 10.1609/aaai.v34i07.6820