Abstract: At present, with the original point cloud as input, most of the object detectors use Pointnet++ to extract features of the point cloud based on the Farthest Point Sampling (FPS). However, ...

Before FasterRcnn, the target detection networks rely on the region proposal algorithm to assume the location of targets, such as SPPnet and Fast R-CNN. Progress has reduced the running time of these ...

faster_rcnn.ipynb is a pytorch 1.1 implementation of simple-faster-rcnn-pytorch. I only give a sanity check in this notebook, since it is an object detector trained on VOC dataset, and I implemented ...

Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...