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Found 4 papers, 0 papers with code
HCIL: Hierarchical Class Incremental Learning for Longline Fishing Visual Monitoring
The goal of electronic monitoring of longline fishing is to visually monitor the fish catching activities on fishing vessels based on cameras, either for regulatory compliance or catch counting.
Unsupervised Severely Deformed Mesh Reconstruction (DMR) from a Single-View Image
Much progress has been made in the supervised learning of 3D reconstruction of rigid objects from multi-view images or a video.
Absolute 3D Pose Estimation and Length Measurement of Severely Deformed Fish from Monocular Videos in Longline Fishing
Finally, with a closed-form solution, the relative 3D fish pose can help locate absolute 3D keypoints, resulting in the frame-based absolute fish length measurement, which is further refined based on the statistical temporal inference for the optimal fish length measurement from the video clip.
Video-based Hierarchical Species Classification for Longline Fishing Monitoring
However, with a known non-overlapping hierarchical data structure provided by fisheries scientists, our method enforces the hierarchical data structure and introduces an efficient training and inference strategy for video-based fisheries data.
