Multi-task Perception for Autonomous Driving
Multi-task learning has become a popular paradigm to tackle multiple tasks simultaneously
with less inference time and computation resources. Recently, many self-supervised pre …
with less inference time and computation resources. Recently, many self-supervised pre …
YOLOv4Tiny: Bearing Angle Based Pose Estimation and Semantic Segmentation For 3D Object Detection From LiDAR Point Cloud & RGB-D Data
R Rajendran, BS Murugan - 2022 - researchsquare.com
Abstract 3D object detection is a computer vision task that is used for various applications.
However, it has several drawbacks due to occlusion, noise, inefficient field of view, etc. In …
However, it has several drawbacks due to occlusion, noise, inefficient field of view, etc. In …
Instance-aware 3D Semantic Segmentation powered by Shape Reconstruction and Classification
Existing 3D semantic segmentation methods rely on point-wise or voxel-wise feature
descriptors to output segmentation predictions. However, these descriptors are often …
descriptors to output segmentation predictions. However, these descriptors are often …