Feiran Hu, Chenlin Zhang, Jiangliang Guo, Xiu-Shen Wei et al.
Unsupervised fine-grained image hashing aims to learn compact binary hash codes in unsupervised settings, addressing challenges posed by large-scale datasets and dependence on supervision. In this paper, we first identify a granularity gap between generic and fine-grained datasets for unsupervised h...
Lei Shi, Chang Xiong, Moyun Liu, Xiu-Shen Wei et al.
OBJECTIVE: image recognition. METHODS: snails and 4 similar snails were generated through field sampling and internet capture, and were divided into training sets and test sets. An intelligent recognition model was created based on deep learning, and was trained and tested. The precision, sensitivit...
Baofeng Tan, Xiu-Shen Wei, Lin Zhao
Chunlin Wen, Yu Zhang, Jie Fan, Hongyuan Zhu et al.
Few-shot semantic segmentation (FSS) aims to segment objects of novel categories in the query images given only a few annotated support samples. Existing methods primarily build the image-level correlation between the support target object and the entire query image. However, this correlation contai...