Underwater Object Detection [Optical]
Papers
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Reveal of Domain Effect: Xingyu Chen, Yue Lu, Zhengxing Wu, Junzhi Yu, Li Wen.
"Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes."ArXiv (2020). [paper] Very Interesting Insights on Image Restoration and Object Detection!!🌟 -
SWIPENet+IMA: Long Chen, Zhihua Liu, Lei Tong, Zheheng Jiang, Shengke Wang, Junyu Dong, Huiyu Zhou.
"Underwater Object Detection using Invert Multi-Class Adaboost with Deep Learning."ArXiv (2020). [paper] -
RoIMix: Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas Li, Ge Li.
"RoIMix: Proposal-Fusion among Multiple Images for Underwater Object Detection."ArXiv (2019). [paper] [知乎] -
Xingyu Chen, Zhengxing Wu, Junzhi Yu, Li Wen.
"Rethinking Temporal Object Detection from Robotic Perspectives."ArXiv (2019). [paper] -
Hong Liu, Pinhao Song, Runwei Ding.
"WQT and DG-YOLO: Towards Domain Generalization in Underwater Object Detection."ArXiv (2020). [paper] -
Hongbo Yang, Ping Liu, YuZhen Hu, JingNan Fu.
"Research on Underwater Object Recognition Based on YOLOv3."Microsystem Technologies (2020). [paper] -
Hui Li, Xi Yang, ZhenMing Li, TianLun Zhang.
"Underwater image enhancement with Image Colorfulness Measure."ArXiv (2020). [paper] -
Sen Lin, Kaichen Chi.
"Underwater Image Enhancement Based on Structure-Texture Reconstruction."ArXiv (2020). [paper] -
Monika Roznere, Alberto Quattrini Li.
"Real-time Model-based Image Color Correction for Underwater Robots."ArXiv (2020). [paper] -
UWCNN: Chongyi Li, Saeed Anwar, Fatih Porikli.
"Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement."Pattern Recognition (2020). [paper] [code] -
Yuan Zhou, Kangming Yan.
"Domain Adaptive Adversarial Learning Based on Physics Model Feedback for Underwater Image Enhancement."ArXiv (2020). [paper] -
UWGAN: Nan Wang, Yabin Zhou, Fenglei Han, Haitao Zhu, Yaojing Zheng.
"UWGAN: Underwater GAN for Real-world Underwater Color Restoration and Dehazing."ArXiv (2019). [paper] [code] -
AIO: Pritish Uplavikar, Zhenyu Wu, Zhangyang Wang.
"All-In-One Underwater Image Enhancement using Domain-Adversarial Learning."CVPRW (2019). [paper] [code] -
UWStereoNet: Katherine A. Skinner, Junming Zhang, Elizabeth A. Olson, Matthew Johnson-Roberson.
"UWStereoNet: Unsupervised Learning for Depth Estimation and Color Correction of Underwater Stereo Imagery."ICRA (2019). [paper] [code]Only for Disparity -
Water-Net: Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao.
"An Underwater Image Enhancement Benchmark Dataset and Beyond."IEEE Transactions on Image Processing (2019) [paper] [project] -
WaterGAN: Jie Li, Katherine A. Skinner, Ryan Eustice, M. Johnson-Roberson.
"WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images."IEEE Robotics and Automation Letters (2017). [paper] [code]
Benchmarks & Surverys
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RUIE: Risheng Liu, Xin Fan, Ming Zhu, Minjun Hou, Zhongxuan Luog.
"Real-world Underwater Enhancement: Challenges, Benchmarks, and Solution."ArXiv (2019). [paper] [project] -
UDD: Zhihui Wang, Chongwei Liu, Shijie Wang, Tao Tang, Yulong Tao, Caifei Yang, Haojie Li, Xing Liu, Xin Fan.
"An Underwater Open-sea Farm Object Detection Dataset for Underwater Robot Picking."[paper] -
UIEB: Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao.
"An Underwater Image Enhancement Benchmark Dataset and Beyond."IEEE TIP (2019) [paper] [project] -
OUC: Long Chen, Lei Tong, Feixiang Zhou, Zheheng Jiang, Zhenyang Li, Jialin Lv, Junyu Dong, Huiyu Zhou.
"A Benchmark Dataset for both Underwater Image Enhancement and Underwater Object Detection."ArXiv (2020).
[paper] -
Yan Wang, Wei Song, Giancarlo Fortino, Li-Zhe Qi, Wenqiang Zhang, Antonio Liotta.
"An Experimental-Based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging."IEEE Access (2019). [paper] [code] -
Saeed Anwar, Chongyi Li, Fatih Porikli.
"Deep Underwater Image Enhancement."ArXiv (2018). [paper] -
Min Han, Zhiyu Lyu, Tie Qiu, Meiling Xu.
"A Review on Intelligence Dehazing and Color Restoration for Underwater Images."IEEE Transactions on Systems, Man, and Cybernetics: Systems (2018). [paper]
中文文献
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朱世伟，杭仁龙，刘青山.
"基于类加权YOLO网络的水下目标检测."南京师大学报(自然科学版) (2020) [论文] -
徐凤强，董鹏，王辉兵，付先平.
"基于水下机器人的海产品智能检测与自主抓取系统."北京航空航天大学学报 (2019) [论文] -
刘有用，张江梅，王坤朋，冯兴华，杨秀洪.
"不平衡数据集下的水下目标快速识别方法."计算机工程与应用 (2019) [论文]
Related Resources
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some underwater datasets: https://github.com/xahidbuffon/underwater_datasets
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detectron2: https://github.com/facebookresearch/detectron2
[model zoo] [detectron] [maskrcnn-benchmark] -
mmdetection: https://github.com/open-mmlab/mmdetection
[model zoo] -
tensorflow detection model zoo: https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
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simpledet: https://github.com/TuSimple/simpledet
[model zoo] -
darknet/yolo: https://pjreddie.com/darknet/
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awesome-object-detection: https://github.com/amusi/awesome-object-detection
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Zhengxia Zou, Zhenwei Shi, Yuhong Guo, Jieping Ye.
"Object Detection in 20 Years: A Survey."ArXiv (2019). [paper]🌟 -
Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen.
"Deep Learning for Generic Object Detection: A Survey."IJCV (2019). [paper]🌟 -
Zhi Zhang, Tong He, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li.
"Bag of Freebies for Training Object Detection Neural Networks."ArXiv (2019). [paper]🌟 -
About Anchor-free Object Detection:
[AnchorFreeDetectionList]
[物体检测的轮回: anchor-based 与 anchor-free] -
TensorRT: https://developer.nvidia.com/tensorrt
Related Codes🌟 🌟 🌟
Detection Reports:
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目标检测的过去、现在与将来[俞刚-深蓝学院公开课]：https://www.bilibili.com/video/BV1154y1v7BZ?from=search&seid=11991442565688432154
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视觉目标检测年度进展概述[VALSE 2020 APR-叶齐祥]：https://www.bilibili.com/video/BV19V411z7L3?from=search&seid=12691654838979826409
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深度目标检测[Valse Webinar 20200429]：https://www.bilibili.com/video/BV1kt4y1y7E3?from=search&seid=12410496426535668823
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基于深度学习的目标检测技术[深度学习大讲堂]：https://www.bilibili.com/video/BV1JW411n7cP
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Detection and Segmentation[Stanford University CS231n]: https://www.youtube.com/watch?v=nDPWywWRIRo&list=PLC1qU-LWwrF64f4QKQT-Vg5Wr4qEE1Zxk&index=11