Experiment on Intermediate Feature Coding for Object Detection and Segmentation |
Jeong, Min Hyuk
(MyongJi University)
Jin, Hoe-Yong (MyongJi University) Kim, Sang-Kyun (MyongJi University) Lee, Heekyung (Electronics and Telecommunications Research Institute) Choo, Hyon-Gon (Electronics and Telecommunications Research Institute) Lim, Hanshin (Electronics and Telecommunications Research Institute) Seo, Jeongil (Electronics and Telecommunications Research Institute) |
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2 | Yuanyuan Yang, Yixiong Zou, Qingsheng Yuan, Yaowei Wang, Yonghong Tian, "Fast Compressed Domain Copy Detection with Motion Vector Imaging", IEEE Conference on Multimedia Information Processing and Retrieval, 2018. |
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9 | Zhuo Chen, Weisi Lin, Shiqi Wang, Lingyu Duan, Alex C. Kot, "Intermediate Deep Feature Compression: the Next Battlefield of Intelligent Sensing", arXiv:1809.06196, September 2018. |
10 | Hyomin Choi, Ivan V. Bajic, "Deep Feature Compression for Collaborative Object Detection", 25th IEEE International Conference on Image Processing, 2018. |
11 | Brain Chmiel, Chaim Baskin, Evgenii heltonozhskii, Ron Banner, Yevgeny Yermolin, Alex Karbachevsky, Alex M. Bronstein, Avi Mendelson, "Feature Map Transform Coding for Energy-Efficient CNN Inference", International Joint Conference on Neural Network, 2020 |
12 | N19507, "Draft Evaluation Framework for Video Coding for Machines," 131st MPEG Online Meeting. |
13 | COCO: Common Objects in Context, https://cocodataset.org. |
14 | Detectron2, https://github.com/facebookresearch/detectron2. |
15 | Cityscapes dataset, https://www.cityscapes-dataset.com/. |
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