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Code for our CVPR 2022 Paper "Hybrid Relation Guided Set Matching for Few-shot Action Recognition".

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![image](https://github.com/alibaba-mmai-research/HyRSM/assets/63787635/71c4ea71-dd77-4f32-9667-e335ed922f16) 我将ucf101的数据集规模缩小后,训练出现了上述问题,是数据集的问题吗?

Hello authors,I download SSV2 from the official website,but the split of the data set looks different than yours. For example, the official data look like :"78687 54 19" ,that is...

Hi, thanks for your excellent work. I have a question about the data split. You process the data in dataset into 8 frames per video, but I didn't find script...

This is from [train_few_shot.txt](https://github.com/alibaba-mmai-research/HyRSM/blob/main/configs/projects/hyrsm/kinetics100/train_few_shot.txt) train0//train_256/air_drumming/-VtLx-mcPds_000012_000022.mp4 train0//train_256/air_drumming/-eGnPDG5Pxs_000053_000063.mp4 train0//train_256/air_drumming/-fTmHyOG-CY_000000_000010.mp4 train0//train_256/air_drumming/-ni1UWaBmL0_000056_000066.mp4 ... How to get these files?

Hello authors, I would like to ask where the code block about Set matching metric is located?

Hi authors.When I run the code,it reports the following error.I can't solve it. Could you do me a favor? I tried to update the decord version to 0.6.0 but the...

Hello authors, it looks like you treat the SSv2 videos as .mp4 files ([here](https://github.com/alibaba-mmai-research/HyRSM/blob/main/datasets/base/ssv2_few_shot.py#L365)), but the SSv2 dataset is composed of .webm files. So have you done transformation before reading...

It looks like none of the links in the model/feature zoo pages link to anything. Do you have a plan to release them? UPDATE: are these them? https://github.com/alibaba/EssentialMC2/blob/main/MODEL_ZOO.md

Hi authors, I noticed that the NUM_TRAIN_TASKS under UCF setting is only 2500, is it enough to train the model? cuz I tried to reproduce your method, but the output...

You offered different training configs for different datasets. ![image](https://user-images.githubusercontent.com/77264390/209543821-e1bf4a88-4d48-4c12-b26b-b8ee235ef877.png) However, the same training config is used for all datasets in your code. ![image](https://user-images.githubusercontent.com/77264390/209544023-a8b4b10d-074c-4bb9-a8f2-22ec46fb2629.png) ![image](https://user-images.githubusercontent.com/77264390/209544102-07fa5e36-6e66-4388-94be-2dd09821e2a8.png) Which training config is right?