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Cloze Test Helps: Effective Video Anomaly Detection via Learning to Complete Video Events. Oral paper in ACM Multimedia 2020.

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In the test step, the tutorial mentioned "Select the model in ./data/raw2flow, and move the files in the model folder (such as avenue_model_5raw1of_auc0.902) into ./data/raw2flow." However, I can only see...

Thanks for your excellent work. I find the link to the pretrained object detector Cascade R-CNN in Readme.md is no longer valid when i try to download it. Could you...

Hello, I would like to ask how you determined the detection frame of the same person in five adjacent frames in the paper “Cloze Test Helps: Effective Video Anomaly Detection...

Thanks for your excellent work. There are some problem when I run the calc_optical_flow.py because of the torch version missed. Could you send me or upload the UCSDpred2 optical_flow? Thank...

I have tried to implement it on Google Colab but ran into some issues. Link: https://gist.github.com/mshaek/47feeae4fe500cb7b09eace9d7f3106c Can anyone share if you have implemented in google colab?

朋友你好!感谢你们的工作以及对代码开源的支持!我在复现你们的工作时遇到了一个问题:在执行第4步“test on saved models”时,我发现test.py里需要用到mmdet.dataset的piplines包,但是在你们环境配置所建议的“mmdetection 1.0rc0”中,却没有piplines包,不知道这是什么原因。我检查了mmdetection的最新版本(2.0)的源码,在它的mmdet文件夹里面是有pipline包的,但是最新版本所需要的安装环境是PyTorch 1.3+,与你们工作所建议的PyTorch环境不符合。请问可否在空闲的时候,帮我解答一下这个问题?谢谢你! ![image](https://user-images.githubusercontent.com/37476521/110196049-dcc6e980-7e7c-11eb-8a5c-89562ede215b.png)

Thanks for your work! When building the environment,I installed the needed package named mmcv and mmdet . However,when I run the train.py, it said "ModuleNotFoundError: No module named 'mmcv._ext'". I...

enhancement

What is the version of the corresponding matplotlib package used? (flownet2) root@interactive14626:/opt/data/private/shh/VEC_VAD-master# python calc_optical_flow.py Traceback (most recent call last): File "calc_optical_flow.py", line 7, in from FlowNet2_src import FlowNet2 File "/opt/data/private/shh/VEC_VAD-master/FlowNet2_src/__init__.py",...

The results in the paper cannot be reproduced on the avenue dataset. Can you provide detailed super parameters? Thank you!