TLNet | Triangulation Learning Network : from Monocular to Stereo | Computer Vision library

TLNet is a Python library typically used in Artificial Intelligence, Computer Vision, Deep Learning, Pytorch applications. TLNet has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

we study the problem of 3D object detection from stereo images, in which the key challenge is how to effectively utilize stereo information. Different from previous methods using pixel-level depth maps, we propose to employ 3D anchors to explicitly construct geometric correspondences between the regions of interest in stereo images, from which the deep neural network learns to detect and triangulate the targeted object in 3D space. We also present a cost-efficient channel reweighting strategy that enhances representational features and weakens noisy signals to facilitate the learning process. All of these are flexibly integrated into a baseline detector, achieving state-of-the-art performance in 3D object detection and localization on the challenging KITTI dataset.