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SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction
  Transformers trained under memory constraints

SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints

19 November 2023
Aditya Nalgunda Ganesh
    ViT
ArXivPDFHTML

Papers citing "SOccDPT: Semi-Supervised 3D Semantic Occupancy from Dense Prediction Transformers trained under memory constraints"

4 / 4 papers shown
Title
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
LidarMultiNet: Towards a Unified Multi-Task Network for LiDAR Perception
Dongqiangzi Ye
Zixiang Zhou
Weijia Chen
Yufei Xie
Yu Wang
Panqu Wang
H. Foroosh
3DPC
58
84
0
19 Sep 2022
Semi-supervised Multi-task Learning for Semantics and Depth
Semi-supervised Multi-task Learning for Semantics and Depth
Yufeng Wang
Yi-Hsuan Tsai
Wei-Chih Hung
Wenrui Ding
Shuo Liu
Ming-Hsuan Yang
31
18
0
14 Oct 2021
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection
  for Sparse Semantic Segmentation Network
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng
Ryan Razani
E. Taghavi
Enxu Li
Bingbing Liu
3DPC
158
241
0
08 Feb 2021
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic
  Segmentation
AMVNet: Assertion-based Multi-View Fusion Network for LiDAR Semantic Segmentation
Venice Erin Liong
Thi Ngoc Tho Nguyen
S. Widjaja
Dhananjai Sharma
Z. J. Chong
3DPC
137
110
0
09 Dec 2020
1