Autonomous novel class discovery for vision-based recognition in non-interactive environments
Visual recognition with deep learning has recently been shown to be effective in robotic vision. However, these algorithms tend to be build under fixed and structured environment, which is rarely the case in real life. When facing unknown objects, avoidance or human interactions are required, which...
Saved in:
| Main Authors: | Xuelin Zhang, Feng Liu, Xuelian Cheng, Siyuan Yan, Zhibin Liao, Zongyuan Ge |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co. Ltd.
2024-01-01
|
| Series: | Cognitive Robotics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667241324000156 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Survey of video behavior recognition
by: Huilan LUO, et al.
Published: (2018-06-01) -
Accurate recognition of micromorphology images of epoxy coatings for deep-sea environments based on a deep learning super-resolution method
by: JiaQi Pan, et al.
Published: (2025-09-01) -
Tea Disease Recognition Based on Image Segmentation and Data Augmentation
by: Ji Li, et al.
Published: (2025-01-01) -
Deep Learning Method for Handwriting Recognition
by: Abdullah Erdal Tümer, et al.
Published: (2021-06-01) -
Survey on vision-based railway track defect detection
by: CHEN Tianyan, et al.
Published: (2024-09-01)