Showing 41 - 44 results of 44 for search '"image retrieval"', query time: 0.03s Refine Results
  1. 41

    Sparse Codebook Model of Local Structures for Retrieval of Focal Liver Lesions Using Multiphase Medical Images by Jian Wang, Xian-Hua Han, Yingying Xu, Lanfen Lin, Hongjie Hu, Chongwu Jin, Yen-Wei Chen

    Published 2017-01-01
    “…The character analysis of a unconfirmed FLL case would be expected to benefit greatly from the accumulated FLL cases with experts’ analysis, which can be achieved by content-based medical image retrieval (CBMIR). CBMIR mainly includes discriminated feature extraction and similarity calculation procedures. …”
    Get full text
    Article
  2. 42

    Context-Aware Fine-Grained Product Recognition on Grocery Shelves by Lovre Antonio Budimir, Zoran Kalafatic, Marko Subasic, Sven Loncaric

    Published 2025-01-01
    “…Product recognition is a fine-grained image retrieval problem because grocery stores can contain several thousand products on their shelves, some of which have minimal visual differences. …”
    Get full text
    Article
  3. 43

    CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

    Published 2025-01-01
    “…Salient object detection (SOD) is a key preprocessing step in computer vision, widely used in object tracking, action recognition, and image retrieval, among other fields. However, traditional SOD algorithms often face issues such as rough object boundaries, incomplete extraction of global image features, and insufficient attention to key areas. …”
    Get full text
    Article
  4. 44

    Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data by Donik Vrsnak, Marko Subasic, Sven Loncaric

    Published 2025-01-01
    “…These attacks pose a significant security threat in critical applications, such as street sign or pedestrian recognition for autonomous vehicles, biometric authentication, image retrieval, semantic labeling, etc. To combat these threats, many defense mechanisms have been proposed. …”
    Get full text
    Article