Comments (4)
HI, I use DBG to produce the proposals from the feature's data which you provided, and then use the proposals and the TSN features directly to do the temporal detection, the result is poor, only got 0.2mPA. I wonder, the big problem is I have not use the final video-level score for detection, but use only the 100*400 feature's for detection. Is that right? and would you please give me the guide to improve the mAP based on DBG? thanks very much.
[INIT] Loaded annotations from validation subset.
Number of ground truth instances: 7654
Number of predictions: 472700
Fixed threshold for tiou score: [0.5 0.55 0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.95]
[RESULTS] Performance on ActivityNet detection task.
Average-mAP: 0.20763225314731745
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Great work! Thank you for sharing. I also want to ask whether you could release your detection demo.
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@lijiannuist Would you please release the detection demo? Thanks a lot.
I still cannot see how to get the action label and the start/end using your code for a single video.
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请问inference model到时候会开源出来嘛,想试试能否实际的去应用一下。
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Related Issues (20)
- The original ActivityNet TSN feature HOT 1
- 能否放一下thumos上的实验?
- features csv different from provided
- HOW ABOUT THE SPEED? HOT 1
- THUMOS14
- Question about PFG layer HOT 2
- About the provided features!! HOT 1
- run error HOT 1
- proposal HOT 1
- Segmentation fault when define the whole model with PFG layer compiled HOT 2
- why the "annotations" of testing is none?
- Compile tensorflow-version proposal feature generation layers HOT 1
- Can you release the THUMOS14 features? HOT 1
- gcc 7.5 可以?
- 作者能重新上下谷歌云特征文件吗?微云下载太慢了
- Can you release the THUMOS14 or ActivityNet1.3 features? HOT 1
- 关于连接失效问题。 HOT 1
- Thumos code
- THUMOS14 code can you share ?
- code for Thumos
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