OpenGVLab / OpenGVLab/InternVideo

The issue of Temporal-Action-Localization

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Python
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Description

Hello, thanks for your good work!
I encountered some problems when reproducing the performance of Temporal-Action-Localization task:
Thumos14: 69.11 average mAP (lower than 71.58). The input_dim of feature is not right. (The channel dimensionof provided mae feature is 1280 but 1408 in thumos.yaml)
Anet1.3: 38.56 average mAP.

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Research direction

Start by checking the feature input dimension in thumos.yaml against the provided MAE feature shape, then reproduce the reported Thumos14 and Anet1.3 results. Done means the configuration matches the supplied features and the resulting average mAP discrepancy is explained or corrected.

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Assessment

Tech stack
python
Domain
computer-vision, machine-learning
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
35/100

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