1.8k citations · 2.8k across the 32 of their papers we have counts for
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Scene Text Detection with Scribble Lines
Wenqing Zhang, Yang Qiu, Minghui Liao +3
Scene text detection, which is one of the most popular topics in both academia and industry, can achieve remarkable performance with sufficient training data. However, the annotati…
Free-Form Image Inpainting via Contrastive Attention Network
Xin Ma, Xiaoqiang Zhou, Huaibo Huang +3
Most deep learning based image inpainting approaches adopt autoencoder or its variants to fill missing regions in images. Encoders are usually utilized to learn powerful representa…
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang +3
Despite the fast development of differentiable architecture search (DARTS), it suffers from long-standing performance instability, which extremely limits its application. Existing…
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…
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…
FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition
Wenqing Zhang, Yang Qiu, Song Bai +3
While scene text recognition techniques have been widely used in commercial applications, data privacy has rarely been taken into account by this research community. Most existing…