Adapting deep learning for object detection to detect mixed image tampering.
arXiv research
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Zero-shot KD for object detection without training data.
Object detection in streaming images is a major step in different detection-based applications, such as object tracking, action recognition, robot navigation, and visual surveillance applications. In mostcases, image quality is noisy and biased, and as a result, the data distributions are disturbed and imbalanced. Most…
SafeAccess identifies people in smart homes for safer access.
Deep feature fusion improves mitosis counting accuracy.
Proposes a new method for probabilistic regression in computer vision.
Developing neural network image classification models often requires significant architecture engineering. In this paper, we study a method to learn the model architectures directly on the dataset of interest. As this approach is expensive when the dataset is large, we propose to search for an architectural building bl…