Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation-Reference-Cited by-同舟云学术

Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation

Published:2022-10 Issue:4 Volume:7 Page:9302-9309
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Mohan Rohit¹^ORCID,Valada Abhinav¹^ORCID

Affiliation:

1. Department of Computer Science, University of Freiburg, Freiburg im Breisgau, Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9831196/09822396.pdf?arnumber=9822396

Reference26 articles.

1. EfficientLPS: Efficient LiDAR Panoptic Segmentation

2. UPSNet: A Unified Panoptic Segmentation Network

3. An Implicit Shape Model for Combined Object Categorization and Segmentation

4. Box2Pix: Single-Shot Instance Segmentation by Assigning Pixels to Object Boxes

5. There is More than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking with Sound by Distilling Multimodal Knowledge

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