53 citations · 294 across the 21 of their papers we have counts for
5 papers · 1 filter
Semantics-Preserving Sketch Embedding for Face Generation
Binxin Yang, Xuejin Chen, Chaoqun Wang +3
With recent advances in image-to-image translation tasks, remarkable progress has been witnessed in generating face images from sketches. However, existing methods frequently fail…
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks
Weide Liu, Chi Zhang, Guosheng Lin +1
Few-shot segmentation aims to learn a segmentation model that can be generalized to novel classes with only a few training images. In this paper, we propose a Cross-Reference and L…
Few-shot Open-set Recognition Using Background as Unknowns
Nan Song, Chi Zhang, Guosheng Lin
Few-shot open-set recognition aims to classify both seen and novel images given only limited training data of seen classes. The challenge of this task is that the model is required…
Automatic Generation of Product-Image Sequence in E-commerce
Xiaochuan Fan, Chi Zhang, Yong Yang +6
Product images are essential for providing desirable user experience in an e-commerce platform. For a platform with billions of products, it is extremely time-costly and labor-expe…
Efficient Few-Shot Object Detection via Knowledge Inheritance
Ze Yang, Chi Zhang, Ruibo Li +2
Few-shot object detection (FSOD), which aims at learning a generic detector that can adapt to unseen tasks with scarce training samples, has witnessed consistent improvement recent…