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Adaptive semi-supervised 3D object detection network with multi-level constraints

delete2025-11-10
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PRE
AI
S
Shuhua Wang *
T
Tao Xu
Y
Yang Zhao
Y
Yue Feng
K
Ke Lü
DOI:10.1016/j.neucom.2025.132079delete
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Abstract

Abstract

En 中文
• A novel semi-supervised 3D detection framework (ASSM) is proposed for 3D scenes. • Improvements are made at the data, feature, and prediction levels to enhance the network performance. • State-of-the-art results are achieved on SUN RGB-D and ScanNet V2 benchmarks.

Journal

Neurocomputing cover
Neurocomputing
IF:
6.5
Papers:
2.5W
Citations:
6.5W

Organization

U
University of Chinese Academy of Sciences
Scholars:
6.2K
Papers: 2.5K
Citations: 24.6W
K
kunlun digital technology co ltd
Scholars:
3
Papers: 1
Citations: 0
C
china unicom
Scholars:
23
Papers: 11
Citations: 0
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