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고해상도 이미지를 처리할 때 대부분 문제로 여겨지는 것은 Computation과 memory입니다.
이러한 문제들을 해결하기 위해 기존의 방법들은 global - local refinement pipeline을 따르는데,
본 논문에서는 다른 논문들에서 신경 쓰지 않았던 inference speed 또한 신경을 쓰도록 하겠습니다.
큰 이미지를 작은 l…
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First of all, thank you for releasing such an interesting work in the field of Semantic SLAM.
Considering that the Semantic Segmentation Network used by Hydra is not yet ready for publication, I'd …
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[sound-spaces](https://github.com/facebookresearch/sound-spaces)
[Project: RLR-Audio-Propagation](https://github.com/facebookresearch/rlr-audio-propagation)
[Audio Sensor](https://github.com/f…
yyf17 updated
2 years ago
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Hi！Mr. Qi：
I try to run pointnet to carry out segmentation of point cloud data. In your repository,you provide indoor scenes segmentation, I train the sample data,but the process spend to…
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The WebRTC Working Group is working on an API to allow fast processing of real-time video, with two proposals under discussion towards convergence: https://github.com/alvestrand/mediacapture-transfor…
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Hi!
There are some questions, I would like to ask about sensor data and its processing. I can divide this question in several one, if this is more convenient. And I would be very grateful for your de…
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First thank you for sharing the excellent work for us. And for the RGBD segmentation research, we really need the cityscapes RGB-D dataset or the method to get depth map, would you share that in recen…
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Hi~ I've read your paper in detail , and I would like to ask that **how you used the onboard sensors to perceive the position and speed state of the pedestrians(i.e obstacles ) around segway robot in …
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It's taking 35-40s to process the segmentation of a single frame.
My test setup configuration:
i. Ubuntu 18.04 LTS, core i7, 24 Gb RAM
ii. Graphics Nvidia 1070M (Laptop version of 1070Ti)
iii. C…
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