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Multi-modal Fusion and Query Refinement Network for Video Moment Retrieval and Highlight Detection
Yifang Xu, Yunzhuo Sun, Benxiang Zhai +3
Given a video and a linguistic query, video moment retrieval and highlight detection (MR&HD) aim to locate all the relevant spans while simultaneously predicting saliency scores. M…
Fast Video Crowd Counting with a Temporal Aware Network
Xingjiao Wu, Baohan Xu, Yingbin Zheng +3
Crowd counting aims to count the number of instantaneous people in a crowded space, and many promising solutions have been proposed for single image crowd counting. With the ubiqui…
Attention-Aware Generalized Mean Pooling for Image Retrieval
Yinzheng Gu, Chuanpeng Li, Jinbin Xie
It has been shown that image descriptors extracted by convolutional neural networks (CNNs) achieve remarkable results for retrieval problems. In this paper, we apply attention mech…
Multi-level Semantic Feature Augmentation for One-shot Learning
Zitian Chen, Yanwei Fu, Yinda Zhang +3
The ability to quickly recognize and learn new visual concepts from limited samples enables humans to swiftly adapt to new environments. This ability is enabled by semantic associa…