pytorch-coviar
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only get 57% acc on mv vector, ucf101 split1
Hey, I just copied the options and settings when I trained coviar on UCF101-split1, but I only got 57% acc (validation) when training. Is there something wrong? Any help? Thanks.
Are you using the training script? Try testing the script. In the testing, they used more segments and also 10 crops as augmentation.
Hello, can you send me the "coviar" package, I think there is a problem with my installation, thank you, my email is [email protected]
Are you using the training script? Try testing the script. In the testing, they used more segments and also 10 crops as augmentation.
Hey, I also followed the options and settings in this project on HMDB51, but got very low accuracy compared with the results in the paper, and I noticed that in the paper the author mentioned that their models were pretrained on ImageNet. so dose this mean that I have to pretrain the model on ImageNet to get similar results with the paper, or just because there is something else wrong so that I get the poor results? Really thanks!