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amirmk89
Graph Embedded Pose Clustering for Anomaly Detection
Dear author,  ---- how do you get the json file?  ----- and what's the meaning of the content in the json file?
Dear authors, I read your work about "Graph Embedded pose Clustering for Anomaly Detection" with great interest. Some questions came up for me about the experiments with the NTU dataset:...
Thank you so much for your research, it's really great! I am a student who wants to continue researching in this direction. I noticed that you used the NTU-RGB+D&Kinetics-250 dataset...
Thank you for your work. I have a questions about json data which are in pose/training/tracked_person. For example, 08_027_alphapose_tracked_person.json The abstract of this structure is as follows ``` └── root...
Hello, First of all, thanks for publishing your work. I am using this in my thesis and have run into some issues regarding your frame-level evaluation. 1. In the method...
Thank you for your work! I found that the parameter 'train_seg_conf_th' effects the model performance strongly on the ShanghaiTech dataset. After I reading the code, I found that this parameter...
**Thanks for your nice work first! I run the code without any change, but I cannot get the similar result on ShanghaiTech as the paper post, which is lower than...
@amirmk89 , Only the information in the paper, the experimental effect of NTU RGB+D data set is not good, can you share more detailed experimental settings?
When I use the type of patch to train the model, I found the data size is smaller. Batch_size is set 256, having 439 batches. But Batch_size is set 512,...
