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Found 9 papers, 1 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
Stable Yaw Estimation of Boats from the Viewpoint of UAVs and USVs
In this paper, we propose a method based on HyperPosePDF for predicting the orientation of boats in the 6D space.
Memory Maps for Video Object Detection and Tracking on UAVs
This paper introduces a novel approach to video object detection detection and tracking on Unmanned Aerial Vehicles (UAVs).
Fast Region of Interest Proposals on Maritime UAVs
In this work, we consider the problem of finding meaningful region of interest proposals in a video stream on an embedded GPU.
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.
Leveraging Synthetic Data in Object Detection on Unmanned Aerial Vehicles
In this work, we explore the potential use of synthetic data in object detection from UAVs across various application environments.
Ranked #1 on
Object Detection
on SeaDronesSee
(using extra training data)
SeaDronesSee: A Maritime Benchmark for Detecting Humans in Open Water
Therefore, this paper introduces a large-scaled visual object detection and tracking benchmark (SeaDronesSee) aiming to bridge the gap from land-based vision systems to sea-based ones.
Ranked #1 on
Object Tracking
on SeaDronesSee
Gaining Scale Invariance in UAV Bird's Eye View Object Detection by Adaptive Resizing
This work introduces a new preprocessing step for object detection applicable to UAV bird's eye view imagery, which we call Adaptive Resizing.
Diminishing Domain Bias by Leveraging Domain Labels in Object Detection on UAVs
Object detection from Unmanned Aerial Vehicles (UAVs) is of great importance in many aerial vision-based applications.
