一种时空特征聚合的水下珊瑚礁鱼检测方法

陈智能, 史存存, 李轩涯, 贾彩燕, 黄磊 - 北京航空航天大学学报, 2021 - bhxb.buaa.edu.cn
水下监控视频中的珊瑚礁鱼检测面临着视频成像质量不高, 水下环境复杂, 珊瑚礁鱼视觉多样性
高等困难, 是一个极具挑战的视觉目标检测问题, 如何提取高辨识度的特征成为制约检测精度 …

InfEval: Application for Object Detection Analysis

K Bogomasov, T Geuer, S Conrad - European Conference on Information …, 2023 - Springer
Object Detection is one of the most fundamental and challenging areas in computer vision. A
detailed analysis and evaluation is key to understanding the performance of custom Deep …

[PDF][PDF] Enhanced Localization and Classification of Coral Reef Structures and Compositions.

K Bogomasov, P Grawe, S Conrad - CLEF (Working Notes), 2020 - researchgate.net
The automatic annotation of coral images is important for researching the underwater
ecosystem, which is the focus of the Image-CLEFcoral task. We participated by refining our …

An underwater coral reef fish detection approach based on aggregation of spatio-temporal features

Z CHEN, C SHI, X LI, C JIA, L HUANG - 北京航空航天大学学报, 2021 - bhxb.buaa.edu.cn
It is challenging to detect coral reef fish from underwater surveillance videos, due to issues
like poor video imaging quality, complex underwater environment, high visual diversity of …