DistillGrasp: Integrating Features Correlation With Knowledge Distillation for Depth Completion of Transparent Objects-Reference-Cited by-同舟云学术

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DistillGrasp: Integrating Features Correlation With Knowledge Distillation for Depth Completion of Transparent Objects

Published:2024-10 Issue:10 Volume:9 Page:8945-8952
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Huang Yiheng¹^ORCID,Chen Junhong¹^ORCID,Michiels Nick²^ORCID,Asim Muhammad¹^ORCID,Claesen Luc³^ORCID,Liu Wenyin¹^ORCID

Affiliation:

1. College of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China

2. Expertise Centre for Digital Media, Flanders Make, Hasselt University, Diepenbeek, Belgium

3. Hasselt University, Diepenbeek, Belgium

Funder

China Scholarship Council

National Natural Science Foundation of China

Special Research Fund (BOF) of Hasselt University

State Key Laboratory of Public Big Data

Guangdong Innovative Research Team Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/7083369/10638067/10669217.pdf?arnumber=10669217

Reference22 articles.

1. Challenges of Depth Estimation for Transparent Objects

2. Clear Grasp: 3D Shape Estimation of Transparent Objects for Manipulation

3. DepthGrasp: Depth Completion of Transparent Objects Using Self-Attentive Adversarial Network with Spectral Residual for Grasping

4. TODE-Trans: Transparent Object Depth Estimation with Transformer

5. ClueDepth Grasp: Leveraging positional clues of depth for completing depth of transparent objects

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