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Existing object detection methods often consider sRGB input, which was compressed from RAW data using ISP originally designed for visualization.
Gamma correction for digital fringe projection profilometry
Hongwei Guo, Haitao He, and Mingyi Chen · 2004
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The pascal visual object classes (voc) challenge
M. Everingham, L. Gool, Christopher K. I. Williams, J. Winn, and Andrew Zisserman · 2009
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Pascalraw: raw image database for object detection
Alex Omid-Zohoor, David Ta, and Boris Murmann · 2014
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Distilling the knowledge in a neural network
Geoffrey Hinton · 2015
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Imagenet large scale visual recognition challenge
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Unprocessing images for learned raw denoising
Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, and Jonathan T Barron · 2019
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Kai Chen, Jiaqi Wang, Jiangmiao Pang, Yuhang Cao, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jiarui Xu, Zheng Zhang, Dazhi Cheng, Chenchen Zhu, Tianheng Cheng, Qijie Zhao, Buyu Li, Xin Lu, Rui Zhu, Yue Wu, Jifeng Dai, Jingdong Wang, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2019
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Contrastive learning rivals masked image modeling in fine-tuning via feature distillation
Yixuan Wei, Han Hu, Zhenda Xie, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, and Baining Guo · 2022
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YOLO by Ultralytics, 2023
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Darkvision: a benchmark for low-light image/video perception
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