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科研机构

南京地理与湖泊研究所 [7]

计算技术研究所 [6]

湖南大学 [5]

自动化研究所 [4]

山东大学 [3]

武汉大学 [2]

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期刊论文 [36]

发表日期

2019 [36]

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浏览/检索结果: 共36条，第1-10条

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发表日期：2019

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	Asymmetric GAN for Unpaired Image-to-Image Translation 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 12, 页码: 5881-5896 作者: Li, Yu; Tang, Sheng; Zhang, Rui; Zhang, Yongdong; Li, Jintao 收藏 \| 浏览/下载：69/0 \| 提交时间：2019/12/10 Generative adversarial networks cycle GAN asymmetric GAN image-to-image translation unpaired translation
	Umaltolepis and associated Pseudotorellia leaves from the Middle Jurassic of Yima in Henan Province, Central China 期刊论文 REVIEW OF PALAEOBOTANY AND PALYNOLOGY, 2019, 卷号: 271, 页码: 104-111 作者: Dong, Chong （董重）; Zhou, Zhiyan （周志炎）; Zhang, Bole; Wang, Yongdong （王永栋）; Shi, Gongle （史恭乐）收藏 \| 浏览/下载：11/0 \| 提交时间：2020/03/18 Umaltolepis Pseudotorellia Middle Jurassic Ginkgophyte Yima Formation China
	Deep Hashing Based on VAE-GAN for Efficient Similarity Retrieval 期刊论文 CHINESE JOURNAL OF ELECTRONICS, 2019, 卷号: 28, 期号: 6, 页码: 1191-1197 作者: Jin, Guoqing; Zhang, Yongdong; Lu, Ke 收藏 \| 浏览/下载：3/0 \| 提交时间：2020/12/10 file organisation image retrieval learning (artificial intelligence) neural nets pairwise hashing learning semantic perserving feature mapping model adversarial generative process image feature vector hash codes pairwise ranking loss generative networks VAE-GAN based hashing framework image retrieval content preserving images similarity retrieval variational autoencoder generative adversarial network Image retrieval Learning to hash Variational autoencoder(VAE) Generative adversarial network(GAN)
	Cross-Modality Bridging and Knowledge Transferring for Image Understanding 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2675-2685 作者: Yan, Chenggang; Li, Liang; Zhang, Chunjie; Liu, Bingtao; Zhang, Yongdong 收藏 \| 浏览/下载：66/0 \| 提交时间：2019/12/10 Object and scene recognition image semantic search cross-modality bridging multi-task learning knowledge transferring
	Cross-Modality Bridging and Knowledge Transferring for Image Understanding 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 10, 页码: 2675-2685 作者: Yan, Chenggang; Li, Liang; Zhang, Chunjie; Liu, Bingtao; Zhang, Yongdong 收藏 \| 浏览/下载：63/0 \| 提交时间：2019/12/16 Object and scene recognition image semantic search cross-modality bridging multi-task learning knowledge transferring
	Expression, Purification, and Polyethylene Glycol Site-Specific Modification of Recombinant Human Interleukin 24 in Escherichia coli 期刊论文 PROTEIN JOURNAL, 2019, 卷号: 38, 期号: 5, 页码: 576-585 作者: Zhang, Yao; Ma, Qunfeng; Wang, Junfeng; Ge, Jianlin; Hua, Jilei 收藏 \| 浏览/下载：102/0 \| 提交时间：2019/11/12 IL-24 Gene engineering proteins PEG site-specific modification Half-life
	Dual-Stream Recurrent Neural Network for Video Captioning 期刊论文 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 8, 页码: 2482-2493 作者: Xu, Ning; Liu, An-An; Wong, Yongkang; Zhang, Yongdong; Nie, Weizhi 收藏 \| 浏览/下载：93/0 \| 提交时间：2019/12/10 Video captioning hidden state fusion dual stream recurrent neural network attention module
	Deep Representation Learning With Part Loss for Person Re-Identification 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2860-2871 作者: Hong, Richang; Yao, Hantao; Tian, Qi; Xu, Changsheng; Zhang, Yongdong 收藏 \| 浏览/下载：57/0 \| 提交时间：2019/08/16 Person re-identification representation learning part lass networks convolutional neural networks
	Morphology and maintenance of steep dunes near dune asymmetry transitional areas on the shallow shelf (Beibu Gulf, northwest South China Sea) 期刊论文 MARINE GEOLOGY, 2019, 卷号: 412, 页码: 37-52 作者: Ma, Xiaochuan; Yan, Jun; Song, Yongdong; Liu, Xiansan; Zhang, Jianxing 收藏 \| 浏览/下载：67/0 \| 提交时间：2019/08/29 Steep dunes Morphology Maintenance Flow separation Beibu Gulf
	Deep Representation Learning With Part Loss for Person Re-Identification 期刊论文 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 6, 页码: 2860-2871 作者: Yao, Hantao; Zhang, Shiliang; Hong, Richang; Zhang, Yongdong; Xu, Changsheng 收藏 \| 浏览/下载：53/0 \| 提交时间：2019/04/23 Person re-identification representation learning part lass networks convolutional neural networks

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