Object detection

…classification and segmentation, object detection and morphological characterization, high-throughput imaging, and large-scale three-dimensional processing. The course focuses on practical use of these methods for microscopy rather than treating model development as a purely theoretical subject.

…more efficient for classification and object detection problems. Our proposed approach is based on the ideas of attention-driven visual processing and saccades, miniature eye movements influenced by attention. We conduct experiments by analyzing: i) the robustness of different deep neural network (DNN) feature extractors to partially-sensed images for image classification and object detection, and ii) the utility of saccades in masking image patches for image classification and object tracking.