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Found 7 papers, 5 papers with code
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024
The 2nd Workshop on Maritime Computer Vision (MaCVi) 2024 addresses maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicles (USV).
Ranked #1 on
Semantic Segmentation
on LaRS
LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark
The progress in maritime obstacle detection is hindered by the lack of a diverse dataset that adequately captures the complexity of general maritime environments.
Ranked #1 on
Panoptic Segmentation
on LaRS
eWaSR -- an embedded-compute-ready maritime obstacle detection network
Tests on a real embedded device OAK-D show that, while WaSR cannot run due to memory restrictions, eWaSR runs comfortably at 5. 5 FPS.
1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results
The 1$^{\text{st}}$ Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and organized several subchallenges in this domain: (i) UAV-based Maritime Object Detection, (ii) UAV-based Maritime Object Tracking, (iii) USV-based Maritime Obstacle Segmentation and (iv) USV-based Maritime Obstacle Detection.
Learning with Weak Annotations for Robust Maritime Obstacle Detection
Robust maritime obstacle detection is critical for safe navigation of autonomous boats and timely collision avoidance.
Temporal Context for Robust Maritime Obstacle Detection
Robust maritime obstacle detection is essential for fully autonomous unmanned surface vehicles (USVs).
Learning Maritime Obstacle Detection from Weak Annotations by Scaffolding
Per-pixel ground truth labeling of such datasets, however, is labor-intensive and expensive.
