Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak
Not going to say a massive amount about this one; title is basically an entire abstract anyway! A dataset paper, going over challenges specific to SAS scans of underwater weapon dumps from WW2. Most interesting part, at least as judged from my point of view, is what you do when ground truth labels are unreliable going on impossible. Paper is also very much in anticipation of future fun, when we unleash the kittens of machine learning onto the problem:-)
Link to journal version: Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak
Link to version on this web server: Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak
Link to journal version: Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak
Link to version on this web server: Challenges of Labelling Unknown Seabed Munition Dumpsites from Acoustic and Optical Surveys: A Case Study at Skagerrak