상세정보
학술대회
Occluded Video Instance Segmentation with Set Prediction Approach
- 발행일
- 202110
- 출처
- International Conference on Computer Vision Workshops (ICCVW) 2021, pp.3850-3853
- 협약과제
- 21ZR1100, 자율적으로 연결·제어·진화하는 초연결 지능화 기술 연구, 박준희
- 초록
- Occluded Video Instance Segmentation (OVIS) is a multi-task problem performing detection, segmentation, and tracking simultaneously under severe occlusions. We propose an extended model for the OVIS task based on the real-time one-stage instance segmentation method. The proposed model was applied to the OVIS dataset hold by the ICCV 2021 - Occluded Video Instance Segmentation Workshop 2021. We also show that the occlusions can be handled efficiently through one-stage approaches.
- KSP 제안 키워드
- Extended model, One-stage, Proposed model, Real-Time, multi-task, prediction approach, segmentation method