21 citations · 38 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 21 cited
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization
Junyan Wang, Yang Bai, Yang Long +4
Video summarization aims to select representative frames to retain high-level information, which is usually solved by predicting the segment-wise importance score via a softmax fun…
cs.CV2020★ 16 cited
ISIA Food-500: A Dataset for Large-Scale Food Recognition via Stacked Global-Local Attention Network
Weiqing Min, Linhu Liu, Zhiling Wang +4
Food recognition has received more and more attention in the multimedia community for its various real-world applications, such as diet management and self-service restaurants. A l…
cs.CV2020★ 1 cited
ReADS: A Rectified Attentional Double Supervised Network for Scene Text Recognition
Qi Song, Qianyi Jiang, Nan Li +2
In recent years, scene text recognition is always regarded as a sequence-to-sequence problem. Connectionist Temporal Classification (CTC) and Attentional sequence recognition (Attn…