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The CRAFT authors used a weakly-supervised training method to handle the fact that most datasets don't annotate at the character level. I saw in your [docs](https://keras-ocr.readthedocs.io/en/latest/…
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Hi Yinyf0804,
Hope you are well.
I read your work "**Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection**" and I find it very innovative, thank you for open sourcing the code as well…
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Hi,
Congrats on your accepted work! I'd have some questions to understand the model architecture and performance better.
- What patch encoder did you use in the CLAM baseline? Is it based on Re…
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Dear authors,
First, I want to applaud you for your great paper acceptance, and thank you for making the model weights available. I read your paper carefully, but I still have questions I hope you …
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The file “train_wc.txt” of watercolor is not in your provided dataset. Could you update it?
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Why is it different from the implementation in the paper 'Weakly Supervised Approach for Joint Object and Lane Marking Detection'?
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# Overview
- 자율 주행 자동차의 단안 카메라로 RGB 이미지를 받아 각 물체를 인식하는 모델 파이프라인을 구축한다.
1. Object detection 모델:
적은 데이터로도 빠르고 정확한 학습이 가능하고, 물체를 인식해야 한다는 측면에서는 가장 적합한 task 정의이다.
하지만, Depth estimation과 통합하기 위해서는 p…
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Project pageのリンクが違う?
[Project page] Optimizing Video Object Detection via a Scale-Time Lattice
https://cvpaperchallenge.github.io/CVPR2018_Survey/#/ID_Learning_Pixel-level_Semantic_Affinity_with_I…
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Traceback (most recent call last):
File "./tools/trainval_net.py", line 150, in
max_iters=args.max_iters)
File "/home/nieqinqin/liuxiaoyu/CLWS/tools/../lib/model/train_val.py", line 365, i…
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Thank you so much for creating this useful repo!
After I follow the instructions in the Usage section but the output I get in /temp/ is the frames of the video.
Please tell me how to get a .npy fi…