Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images
Human activities in the sea, such as intensive fishing and exploitation of offshore wind farms, may impact negatively on the marine mega fauna. As an attempt to control such impacts, surveying, and tracking of marine animals are often performed on the sites where those activities take place. Nowaday...
Main Authors: | Paul Berg, Deise Santana Maia, Minh-Tan Pham, Sébastien Lefèvre |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/14/2/339 |
Similar Items
-
Weakly-Supervised Video Anomaly Detection with MTDA-Net
by: Huixin Wu, et al.
Published: (2023-11-01) -
Cognitive Refined Augmentation for Video Anomaly Detection in Weak Supervision
by: Junyeop Lee, et al.
Published: (2023-12-01) -
Learning Consistency From High-Confidence Pseudo-Labels for Weakly Supervised Object Localization
by: Kangbo Sun, et al.
Published: (2023-01-01) -
A weakly supervised framework for high-resolution crop yield forecasts
by: Dilli Paudel, et al.
Published: (2023-01-01) -
JMLNet: Joint Multi-Label Learning Network for Weakly Supervised Semantic Segmentation in Aerial Images
by: Rongxin Guo, et al.
Published: (2020-09-01)