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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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Dear,
Thanks for the amazing work.
I wish to use the proposed framework for my dataset where I have just the centerpoint labels and I wish to generate the instance segmentation masks using your …
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See https://github.com/JackieZhangdx/WeakSupervisedSegmentationList/issues/6 for the whole list
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```
INFO:root:Hong et al. - 2017 - Weakly Supervised Semantic Segmentation using Web-Crawled Videos
References start at 740, end at 821
Total references: 27
Reference type seems to be ReferenceTyp…
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* Name of dataset: Pascal VOC12 with SDB extension
* URL of dataset: http://host.robots.ox.ac.uk/pascal/VOC/ and http://home.bharathh.info/pubs/codes/SBD/download.html
* License of dataset: ?? (to b…
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Now I want to create the Grad-CAM of this model, like the figure 1 in your TPRO paper. But I don't know which layer to choose to create the Grad-CAM. Could you tell me how to create the activation map…
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Hi,
In "pyscripts/inference/prototype.py" (line 202), the ground truth "semantic label" is required to predict "prototype_labels". How can I get the prototype_labels if I only have partial (e.g. 10…
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Hi~
I found that there is a difference between the gt generated by the code and the official one provided by VOC.
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https://openreview.net/forum?id=HyzbhfWRW
1) Implement on AlexNet architecture (IN EAGER MODE)
attention on Conv4, Conv5 layers (Figure 2 of paper)
2) Report Table 1 and Table 2 results (Note t…