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Could you share your extracted features? #4
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You can download the features of the ActivityNet dataset here. |
@duskybomb thanks for your sharing, when running the code on tacos datastet, i got the error "s23-d34.npy" not found. I look into the dataset and found that the naming format is confusing with "s23-d34.avi_1117_1181.npy, s23-d34.avi_1123_1379.npy", any suggestions on how to process this dataset? |
The provided C3D features of TACoS (" Interval64_128_256_512_overlap0.8_c3d_fc6 ") seem not corresponding to the paper's descriptions: "we define continuous 16 frames as a unit and each unit overlaps 8 frames with adjacent units". So, could you please provide the extracted features of TACoS used in your papers. |
I also confused about the C3D features of ActivityNet in your codes: |
try this one. |
The representations of each frame come from a clip context. |
Hi Zhijie
Could you share your extracted features of the two datasets to me? (maybe using google grive or baidu drive)
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