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  • Grad-CAM: Visual Explanatio... Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
    Selvaraju, Ramprasaath R.; Cogswell, Michael; Das, Abhishek ... International journal of computer vision, 02/2020, Letnik: 128, Številka: 2
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    We propose a technique for producing ‘visual explanations’ for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them more transparent and explainable. Our ...
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34.
  • A Shape Transformation-base... A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection
    Chen, Zhe; Ouyang, Wanli; Liu, Tongliang ... International journal of computer vision, 04/2021, Letnik: 129, Številka: 4
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    Deep learning-based computer vision is usually data-hungry. Many researchers attempt to augment datasets with synthesized data to improve model robustness. However, the augmentation of popular ...
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35.
  • Deep Learning for Generic O... Deep Learning for Generic Object Detection: A Survey
    Liu, Li; Ouyang, Wanli; Wang, Xiaogang ... International journal of computer vision, 02/2020, Letnik: 128, Številka: 2
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    Object detection, one of the most fundamental and challenging problems in computer vision, seeks to locate object instances from a large number of predefined categories in natural images. Deep ...
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36.
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37.
  • FairMOT: On the Fairness of... FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking
    Zhang, Yifu; Wang, Chunyu; Wang, Xinggang ... International journal of computer vision, 11/2021, Letnik: 129, Številka: 11
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    Multi-object tracking (MOT) is an important problem in computer vision which has a wide range of applications. Formulating MOT as multi-task learning of object detection and re-ID in a single network ...
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38.
  • Unified Quality Assessment ... Unified Quality Assessment of in-the-Wild Videos with Mixed Datasets Training
    Li, Dingquan; Jiang, Tingting; Jiang, Ming International journal of computer vision, 04/2021, Letnik: 129, Številka: 4
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    Video quality assessment (VQA) is an important problem in computer vision. The videos in computer vision applications are usually captured in the wild. We focus on automatically assessing the quality ...
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39.
  • Label-Embedding for Image C... Label-Embedding for Image Classification
    Akata, Zeynep; Perronnin, Florent; Harchaoui, Zaid ... IEEE transactions on pattern analysis and machine intelligence, 2016-July-1, 2016-07-00, 2016-7-1, 20160701, 2016-07-01, Letnik: 38, Številka: 7
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    Attributes act as intermediate representations that enable parameter sharing between classes, a must when training data is scarce. We propose to view attribute-based image classification as a ...
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40.
  • Feature Extraction and Imag... Feature Extraction and Image Processing for Computer Vision
    Nixon, Mark 2012, 2012-12-12
    eBook

    Feature Extraction and Image Processing for Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code ...
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