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Thanks for sharing such an excellent work. Currently, there is only the cfg for PVRCNN. Is it possible to also share the configuration of One-stage methods? I tried to configure one, but it seems the …
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Hi,
Did you consider evaluating this framework using a one stage detector such as yolo or ssd? Would the prediction work with the bounding box refinement of the anchor boxes of these approaches?
Tha…
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When component positions in a NeXus file are not fixed, this is represented as one or more transformations with a value dataset replaced by a time-series (NXlog). In this case it is not possible to co…
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@kaviecos and @mihow have designed & written the specifications for a new ML backend that orchestrates multiple types of models by different research teams, across multiple stages of processing, and i…
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Currently we use the lick detectors in an ephys context and are trying to use them in a more general purpose behavior context.
There are a few issues that prevent us from using these devices in gen…
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## 論文リンク
https://arxiv.org/abs/1708.02002
## 公開日(yyyy/mm/dd)
2017/08/07
## 概要
Focal Loss を導入して RetinaNet という one stage の高性能の object detection model を作ったという話。
one stage detector は objectness …
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CenterMask is a one-stage detector, Why did you use two-stage architecture ?
Thanks
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This codebase only supports one-stage detectors, the paper shows the results of faster-rcnn, when to release the code of this part?
zpyi updated
8 months ago
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Based on CornerNet, detects each object as a triplet, rather than a pair, of keypoints, CenterNet has made great progress. Do you have a test comparison between CenterNet and CornerNet-Lite? Thank you…
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ToDo items that span several stages from detector to elec response simulation
- [x] try to process `raw` file with pygama -> actually first check if the format is still the same, this is format fro…