World Data Ocean/Semi-Supervised Learning

Semi-Supervised Learning

World Data Ocean keeps Semi-Supervised Learning in one place: one story so far. The section currently leads with “Data-Driven Whale Counts: AI Advances Arctic Beluga Monitoring”. Manual annotation of aerial drone imagery remains one of the steepest bottlenecks in Arctic beluga monitoring, and calf detection only compounds the challenge. A Global Hub for Ocean Intelligence 4 World Data Ocean is a centralized digital platform where researchers, scientists, and ocean enthusiasts converge to… The list below is every Semi-Supervised Learning story on World Data Ocean, newest first.

Data-Driven Whale Counts: AI Advances Arctic Beluga Monitoring
Frontiers in Marine Science | New and Recent Articles

Data-Driven Whale Counts: AI Advances Arctic Beluga Monitoring

Manual annotation of aerial drone imagery remains one of the steepest bottlenecks in Arctic beluga monitoring, and calf detection only compounds the challenge. This study offers a practical way forward. By testing semi-supervised detection models against supervised baselines across annotation budgets, the authors show that SEMI-DETR achieves comparable results with 5- to 10-fold less labeled data. The 24.3% relative improvement in calf detection at 1% labeling is particularly encouraging, as it directly supports reproductive health assessments.