VLDUS: Vision-language distillated unseen synthesizer for zero-shot object detection.

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Bibliographic Details
Title: VLDUS: Vision-language distillated unseen synthesizer for zero-shot object detection.
Authors: Yan C; School of Computer Science and Technology, Xi'an Jiaotong University, China; Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi'an Jiaotong University, China. Electronic address: yancaixia@xjtu.edu.cn., Jiao M; School of Computer Science and Technology, Xi'an Jiaotong University, China; Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi'an Jiaotong University, China. Electronic address: jmy0406@stu.xjtu.edu.cn., Xue N; School of Computer Science and Technology, Xi'an Jiaotong University, China; Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi'an Jiaotong University, China. Electronic address: xuenuohan@stu.xjtu.edu.cn., Zhang W; School of Computer Science and Technology, Xi'an Jiaotong University, China; Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi'an Jiaotong University, China. Electronic address: zhangwzh@xjtu.edu.cn., Wang J; School of Computer Science and Technology, Xi'an Jiaotong University, China; Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi'an Jiaotong University, China. Electronic address: uguisu@stu.xjtu.edu.cn., Chang X; Department of Electronic Engineering and Information Science, University of Science and Technology of China, China. Electronic address: cxj273@gmail.com., Tian F; School of Computer Science and Technology, Xi'an Jiaotong University, China; Shaanxi Province Key Laboratory of Big Data Knowledge Engineering, Xi'an Jiaotong University, China. Electronic address: fengtian@mail.xjtu.edu.cn.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Sep; Vol. 201, pp. 108899. Date of Electronic Publication: 2026 Mar 25.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
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