Oct 30, 2022 · SL3D is a generic framework and can be applied to solve different 3D recognition tasks, including classification, object detection, and semantic ...
Deep learning has attained remarkable success in many 3D visual recognition tasks, including shape classification, object detection, and semantic ...
Sep 29, 2022 · SL3D is a generic framework and can be applied to solve different 3D recognition tasks, including classification, object detection, and semantic ...
Dec 16, 2022 · Deep learning has attained remarkable success in many 3D visual recognition tasks, including shape classification, object detection, ...
Oct 30, 2022 · SL3D is a generic framework and can be applied to solve different 3D recognition tasks, including classification, object detection, and semantic ...
SL3D is a generic framework and can be applied to solve different 3D recognition tasks, including classification, object detection, and semantic segmentation.
SL3D: Self-supervised-Self-labeled 3D Recognition. record by Jiajun Shen • SL3D: Self-supervised-Self-labeled 3D Recognition. Fernando Julio Cendra, Lan Ma ...
SL3D: Self-supervised-Self-labeled 3D Recognition. FJ Cendra, L Ma, J Shen, X Qi. NeurIPS 2022 Self-Supervised Learning: Theory and Practice Workshop, 2022.
May 31, 2023 · SL3D is a generic framework and can be applied to solve different 3D recognition tasks, including classification, object detection, and semantic segmentation.
Point-GCC: Universal Self-supervised 3D Scene Pre-training via Geometry-Color Contrast. 2023. 2. SL3D. 10.5. SL3D: Self-supervised-Self-labeled 3D Recognition.