Výsledky vyhledávání - 2014 IEEE Conference on Computer Vision AND Pattern Recognition*

Upřesnit hledání
  1. 1
  2. 2

    Image processing based data reduction technique in WVSN for smart agriculture Autor Koteich, Jana, Salim, Christian, Mitton, Nathalie

    ISSN: 0010-485X, 1436-5057
    Vydáno: Vienna Springer Vienna 01.12.2023
    Vydáno v Computing (01.12.2023)
    “…Nowadays, to improve animal well being in livestock farming application, a wireless video sensor network (WVSN) can be deployed to early detect injury and…”
    Získat plný text
    Journal Article
  3. 3

    Classification of Histology Sections via Multispectral Convolutional Sparse Coding Autor Yin Zhou, Hang Chang, Barner, Kenneth, Spellman, Paul, Parvin, Bahram

    ISSN: 1063-6919, 2160-7508, 1063-6919
    Vydáno: United States IEEE 01.06.2014
    “…Image-based classification of histology sections plays an important role in predicting clinical outcomes. However this task is very challenging due to the…”
    Získat plný text
    Konferenční příspěvek Journal Article
  4. 4

    Title page i Autor Anon

    ISSN: 1063-6919
    Vydáno: 01.06.2014
    “…Presents the title page of the proceedings record…”
    Získat plný text
    Journal Article
  5. 5

    Title page iii Autor Anon

    ISSN: 1063-6919
    Vydáno: 01.06.2014
    “…Presents the title page of the proceedings record…”
    Získat plný text
    Journal Article
  6. 6

    Inception recurrent convolutional neural network for object recognition Autor Alom, Md Zahangir, Hasan, Mahmudul, Yakopcic, Chris, Taha, Tarek M., Asari, Vijayan K.

    ISSN: 0932-8092, 1432-1769
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021
    Vydáno v Machine vision and applications (01.02.2021)
    “… (in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2015) and Pinheiro and Collobert (in: ICML, 2014…”
    Získat plný text
    Journal Article
  7. 7

    A Riemannian Framework for Matching Point Clouds Represented by the Schrödinger Distance Transform Autor Yan Deng, Rangarajan, Anand, Eisenschenk, Stephan, Vemuri, Baba C.

    ISSN: 1063-6919, 1063-6919
    Vydáno: United States IEEE 01.06.2014
    “…In this paper, we cast the problem of point cloud matching as a shape matching problem by transforming each of the given point clouds into a shape…”
    Získat plný text
    Konferenční příspěvek Journal Article
  8. 8

    A novel generative adversarial net for calligraphic tablet images denoising Autor Zhang, Jiulong, Guo, Mingtao, Fan, Jianping

    ISSN: 1380-7501, 1573-7721
    Vydáno: New York Springer US 01.01.2020
    Vydáno v Multimedia tools and applications (01.01.2020)
    “… The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 ) that was formerly used for super resolution reconstruction…”
    Získat plný text
    Journal Article
  9. 9

    A Novel HDR Depth Camera for Real-Time 3D 360 degree Panoramic Vision Autor Belbachir, Ahmed Nabil, Schraml, Stephan, Mayerhofer, Manfred, Hofstatter, Michael

    ISSN: 2160-7516
    Vydáno: 01.06.2014
    “…This paper presents a novel 360 degree High-Dynamic Range (HDR) camera for real-time 3D 360 degree panoramic computer vision…”
    Získat plný text
    Journal Article
  10. 10

    Auto-correct-integrated trackers with and without memory of first frames Autor Sekhavati, Ali, Eghbal, Najmeh

    ISSN: 2366-5971, 2366-598X
    Vydáno: Singapore Springer Singapore 01.06.2020
    “… In: 2009 IEEE conference on computer vision and pattern recognition. IEEE, 2009), CSR-DCF (Lukezic et al. in Discriminative correlation filter with channel and spatial reliability…”
    Získat plný text
    Journal Article
  11. 11

    Recurrent Knowledge Distillation Autor Pintea, Silvia L., Liu, Yue, van Gemert, Jan C.

    ISSN: 2381-8549
    Vydáno: IEEE 01.10.2018
    “…Knowledge distillation compacts deep networks by letting a small student network learn from a large teacher network. The accuracy of knowledge distillation…”
    Získat plný text
    Konferenční příspěvek
  12. 12

    CDnet 2014: An Expanded Change Detection Benchmark Dataset Autor Yi Wang, Jodoin, Pierre-Marc, Porikli, Fatih, Konrad, Janusz, Benezeth, Yannick, Ishwar, Prakash

    ISSN: 2160-7508, 2160-7516
    Vydáno: IEEE 01.06.2014
    “… We describe these categories in detail and provide an overview of the results of more than a dozen methods submitted to the IEEE Change DetectionWorkshop 2014…”
    Získat plný text
    Konferenční příspěvek Journal Article
  13. 13

    Pupil detection for head-mounted eye tracking in the wild: an evaluation of the state of the art Autor Fuhl, Wolfgang, Tonsen, Marc, Bulling, Andreas, Kasneci, Enkelejda

    ISSN: 0932-8092, 1432-1769
    Vydáno: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2016
    Vydáno v Machine vision and applications (01.11.2016)
    “… & applications, ACM. New York, NY, USA, pp 123–130, 2016 ), ExCuSe (Fuhl et al. in Computer analysis of images and patterns…”
    Získat plný text
    Journal Article
  14. 14

    Railroad is not a Train: Saliency as Pseudo-pixel Supervision for Weakly Supervised Semantic Segmentation Autor Lee, Seungho, Lee, Minhyun, Lee, Jongwuk, Shim, Hyunjung

    ISSN: 1063-6919
    Vydáno: IEEE 01.06.2021
    “…Existing studies in weakly-supervised semantic segmentation (WSSS) using image-level weak supervision have several limitations…”
    Získat plný text
    Konferenční příspěvek
  15. 15

    CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation Autor Lin, Yuqi, Chen, Minghao, Wang, Wenxiao, Wu, Boxi, Li, Ke, Lin, Binbin, Liu, Haifeng, He, Xiaofei

    ISSN: 1063-6919
    Vydáno: IEEE 01.01.2023
    “…Weakly supervised semantic segmentation (WSSS) with image-level labels is a challenging task. Mainstream approaches follow a multi-stage framework and suffer…”
    Získat plný text
    Konferenční příspěvek
  16. 16

    Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers Autor Ru, Lixiang, Zhan, Yibing, Yu, Baosheng, Du, Bo

    ISSN: 1063-6919
    Vydáno: IEEE 01.06.2022
    “…Weakly-supervised semantic segmentation (WSSS) with image-level labels is an important and challenging task. Due to the high training efficiency, end-to-end…”
    Získat plný text
    Konferenční příspěvek
  17. 17

    Going deeper with convolutions Autor Szegedy, Christian, Wei Liu, Yangqing Jia, Sermanet, Pierre, Reed, Scott, Anguelov, Dragomir, Erhan, Dumitru, Vanhoucke, Vincent, Rabinovich, Andrew

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 01.06.2015
    “…We propose a deep convolutional neural network architecture codenamed Inception that achieves the new state of the art for classification and detection in the ImageNet Large-Scale Visual Recognition Challenge 2014 (ILSVRC14…”
    Získat plný text
    Konferenční příspěvek Journal Article
  18. 18

    Subspace-PnP: A Geometric Constraint Loss for Mutual Assistance of Depth and Optical Flow Estimation Autor Chi, Cheng, Hao, Tianyu, Wang, Qingjie, Guo, Peng, Yang, Xin

    ISSN: 0920-5691, 1573-1405
    Vydáno: New York Springer US 01.12.2022
    “…, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 4654–4665, 2020; Ranjan et al., in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp 12240…”
    Získat plný text
    Journal Article
  19. 19

    Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation Autor Zhou, Tianfei, Zhang, Meijie, Zhao, Fang, Li, Jianwu

    ISSN: 1063-6919
    Vydáno: IEEE 01.01.2022
    “… In particular, we propose regional semantic contrast and aggregation (RCA). RCA is equipped with a regional memory bank to store massive, diverse object patterns appearing…”
    Získat plný text
    Konferenční příspěvek
  20. 20

    Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation Autor Chen, Qi, Yang, Lingxiao, Lai, Jianhuang, Xie, Xiaohua

    ISSN: 1063-6919
    Vydáno: IEEE 01.06.2022
    “…Weakly Supervised Semantic Segmentation (WSSS) based on image-level labels has attracted much attention due to low annotation costs. Existing methods often…”
    Získat plný text
    Konferenční příspěvek