Search Results - Zero coding Visualization

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  1. 1

    Big Data Visualization: Allotting by R and Python with GUI Tools by Fahad, S.K. Ahammad, Yahya, Abdulsamad Ebrahim

    ISBN: 1538648369, 9781538648360
    Published: IEEE 01.07.2018
    “… Data visualization techniques are authenticated scientifically as thousand times reliable rather than textual representation…”
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    Conference Proceeding
  2. 2

    Compact Latent Primitive Space Learning for Compositional Zero-Shot Learning by Jiang, Han, Chen, Chaofan, Yang, Xiaoshan, Xu, Changsheng

    ISSN: 1520-9210, 1941-0077
    Published: IEEE 2025
    Published in IEEE transactions on multimedia (2025)
    “…Compositional zero-shot learning (CZSL) aims to recognize novel compositions formed by known primitives…”
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    Journal Article
  3. 3

    Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings by Shen, Fumin, Zhou, Xiang, Yu, Jun, Yang, Yang, Liu, Li, Shen, Heng Tao

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: United States IEEE 01.07.2019
    Published in IEEE transactions on image processing (01.07.2019)
    “…Zero-shot learning aims to classify the visual instances from unseen classes in the absence of training examples…”
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    Journal Article
  4. 4

    Zero-shot Referring Image Segmentation with Global-Local Context Features by Yu, Seonghoon, Seo, Paul Hongsuck, Son, Jeany

    ISSN: 1063-6919
    Published: IEEE 01.06.2023
    “… To overcome this issue, we propose a simple yet effective zero-shot referring image segmentation method by leveraging the pre-trained cross-modal knowledge from CLIP…”
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    Conference Proceeding
  5. 5

    Zero-Shot Learning via Latent Space Encoding by Yu, Yunlong, Ji, Zhong, Guo, Jichang, Zhang, Zhongfei

    ISSN: 2168-2267, 2168-2275, 2168-2275
    Published: United States IEEE 01.10.2019
    Published in IEEE transactions on cybernetics (01.10.2019)
    “…Zero-shot learning (ZSL) is typically achieved by resorting to a class semantic embedding space to transfer the knowledge from the seen classes to unseen ones…”
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    Journal Article
  6. 6

    Adaptive Fusion Learning for Compositional Zero-Shot Recognition by Min, Lingtong, Fan, Ziman, Wang, Shunzhou, Dou, Feiyang, Li, Xin, Wang, Binglu

    ISSN: 1520-9210, 1941-0077
    Published: IEEE 01.01.2025
    Published in IEEE transactions on multimedia (01.01.2025)
    “…Compositional Zero-Shot Learning (CZSL) aims to learn visual concepts (i.e., attributes and objects…”
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    Journal Article
  7. 7

    Transductive Zero-Shot Hashing for Multilabel Image Retrieval by Zou, Qin, Cao, Ling, Zhang, Zheng, Chen, Long, Wang, Song

    ISSN: 2162-237X, 2162-2388, 2162-2388
    Published: United States IEEE 01.04.2022
    “…Hash coding has been widely used in the approximate nearest neighbor search for large-scale image retrieval…”
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    Journal Article
  8. 8

    SORT3D: Spatial Object-centric Reasoning Toolbox for Zero-Shot 3D Grounding Using Large Language Models by Zantout, Nader, Zhang, Haochen, Kachana, Pujith, Qiu, Jinkai, Chen, Guofei, Zhang, Ji, Wang, Wenshan

    ISSN: 2153-0866
    Published: IEEE 19.10.2025
    “… Thus, it is important for methods to learn from little data and zero-shot generalize to new environments…”
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    Conference Proceeding
  9. 9

    Part-Aware Unified Representation of Language and Skeleton for Zero-Shot Action Recognition by Zhu, Anqi, Ke, Qiuhong, Gong, Mingming, Bailey, James

    ISSN: 1063-6919
    Published: IEEE 16.06.2024
    “…While remarkable progress has been made on supervised skeleton-based action recognition, the challenge of zero-shot recognition remains relatively unexplored…”
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    Conference Proceeding
  10. 10

    Leveraging Visual Captions for Enhanced Zero-Shot HOI Detection by Zeng, Yanqing, Mao, Yunyao, Lu, Zhenbo, Zhou, Wengang, Li, Houqiang

    ISSN: 2379-190X
    Published: IEEE 06.04.2025
    “…Zero-shot Human-Object Interaction (HOI) detection aims to identify both seen and unseen HOI categories in an image…”
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    Conference Proceeding
  11. 11

    Cross-Modal Zero-Shot-Learning for Tactile Object Recognition by Liu, Huaping, Sun, Fuchun, Fang, Bin, Guo, Di

    ISSN: 2168-2216, 2168-2232
    Published: New York IEEE 01.07.2020
    “… The proposed method is based on dictionary learning and we impose different penalty terms on coding vectors between visual and tactile modalities…”
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    Journal Article
  12. 12

    Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification by Li, Jin, Lan, Xuguang, Liu, Yang, Wang, Le, Zheng, Nanning

    ISSN: 1063-6919
    Published: IEEE 01.06.2019
    “…For Zero-Shot Learning (ZSL), the Nearest Neighbor (NN) search is generally conducted for classification, which may cause unacceptable computational complexity for large-scale datasets…”
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    Conference Proceeding
  13. 13

    Image Encryption Based on Fourier-DNA Coding for Hyperchaotic Chen System, Chen-Based Binary Quantization S-box, and Variable-Base Modulo Operation by Alexan, Wassim, El-Damak, Dina, Gabr, Mohamed

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2024
    Published in IEEE access (01.01.2024)
    “… For the first encryption stage, the discrete Fourier transform (DFT) of the numerical solution of the fractional-order Chen system is obtained, quantized, and employed in carrying out DNA coding…”
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    Journal Article
  14. 14

    BL-JUNIPER: A CNN-Assisted Framework for Perceptual Video Coding Leveraging Block-Level JND by Nami, Sanaz, Pakdaman, Farhad, Hashemi, Mahmoud Reza, Shirmohammadi, Shervin

    ISSN: 1520-9210, 1941-0077
    Published: Piscataway IEEE 2023
    Published in IEEE transactions on multimedia (2023)
    “… This can be a natural solution for setting the compression for each video region in perceptual video coding…”
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    Journal Article
  15. 15

    Reversible Data Hiding in JPEG Images by Huang, Fangjun, Qu, Xiaochao, Kim, Hyoung Joong, Huang, Jiwu

    ISSN: 1051-8215, 1558-2205
    Published: New York IEEE 01.09.2016
    “…Among various digital image formats used in daily life, the Joint Photographic Experts Group (JPEG) is the most popular. Therefore, reversible data hiding…”
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    Journal Article
  16. 16

    Recognition of Unseen Bird Species by Learning from Field Guides by Rodriguez, Andres C., D'Aronco, Stefano, Daudt, Rodrigo Caye, Wegner, Jan D., Schindler, Konrad

    ISSN: 2642-9381
    Published: IEEE 03.01.2024
    “…We exploit field guides to learn bird species recognition, in particular zero-shot recognition of unseen species…”
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    Conference Proceeding
  17. 17

    General Framework to Reversible Data Hiding for JPEG Images With Multiple Two-Dimensional Histograms by Weng, Shaowei, Zhou, Ye, Zhang, Tiancong, Xiao, Mengyao, Zhao, Yao

    ISSN: 1520-9210, 1941-0077
    Published: Piscataway IEEE 2023
    Published in IEEE transactions on multimedia (2023)
    “…) images with multiple two dimensional histograms (2DHs) is proposed. Regardless of whether zero alternating current (AC…”
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    Journal Article
  18. 18

    Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision by Taher, Mohammad Reza Hosseinzadeh, Gotway, Michael B., Liang, Jianming

    ISSN: 1063-6919, 1063-6919
    Published: United States IEEE 01.06.2024
    “…; deep learning excels in learning multi-level feature spaces, but they often lack explicit coding of part-whole relations, a prominent property of medical imaging…”
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    Conference Proceeding Journal Article
  19. 19

    HOICLIP: Efficient Knowledge Transfer for HOI Detection with Vision-Language Models by Ning, Shan, Qiu, Longtian, Liu, Yongfei, He, Xuming

    ISSN: 1063-6919
    Published: IEEE 01.06.2023
    “… However, such approaches often rely on large-scale training data and suffer from inferior performance under few/zero-shot scenarios…”
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    Conference Proceeding
  20. 20

    Unsupervised Domain Adaptation for Zero-Shot Learning by Kodirov, Elyor, Tao Xiang, Zhenyong Fu, Shaogang Gong

    ISSN: 2380-7504
    Published: IEEE 01.12.2015
    “…Zero-shot learning (ZSL) can be considered as a special case of transfer learning where the source and target domains have different tasks/label spaces…”
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    Conference Proceeding Journal Article