Comments (7)
JackyTown
commented on June 23, 2024
'The length of the proposal is basically the same.'
I've never been in this situation before, and I think it has nothing to do with positional embedding.
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ZhongkaiZ
commented on June 23, 2024
| id | f-init | f-end | score | video-name | duration |
|---|---|---|---|---|---|
| 59272 | 8941.171587 | 8977.378497 | 0.617192626 | youtu_fps_5 | 36.2069108 |
| 31496 | 261.2841475 | 297.6285645 | 0.605475843 | youtu_fps_5 | 36.344417 |
| 59144 | 8901.180378 | 8937.332202 | 0.603523493 | youtu_fps_5 | 36.151824 |
| 57480 | 8381.318635 | 8417.45 | 0.59566766 | youtu_fps_5 | 36.1313652 |
| 31880 | 381.2441874 | 417.521347 | 0.592478871 | youtu_fps_5 | 36.27715969 |
| 57736 | 8461.184256 | 8497.324283 | 0.592164576 | youtu_fps_5 | 36.14002676 |
| 59240 | 8931.141665 | 8967.450015 | 0.590808988 | youtu_fps_5 | 36.30835028 |
| 57448 | 8371.069671 | 8407.376627 | 0.582358301 | youtu_fps_5 | 36.30695572 |
| 5672 | 8932.751745 | 9112.894943 | 0.581983328 | youtu_fps_1 | 180.143198 |
| 5320 | 8305.016166 | 8486.745621 | 0.580924988 | youtu_fps_1 | 181.729455 |
| 31752 | 341.2028193 | 377.4039001 | 0.580215931 | youtu_fps_5 | 36.2010808 |
| 59112 | 8891.13182 | 8927.524298 | 0.57909888 | youtu_fps_5 | 36.39247856 |
| 51720 | 6581.16676 | 6617.600854 | 0.578297973 | youtu_fps_5 | 36.43409481 |
| 58280 | 8631.045631 | 8667.365689 | 0.577133536 | youtu_fps_5 | 36.32005787 |
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JackyTown
commented on June 23, 2024
Please check the log and make sure that loss is dropping.
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ZhongkaiZ
commented on June 23, 2024
'The length of the proposal is basically the same.'
I've never been in this situation before, andI think it has nothing to do with positional embedding.
Thank you for you reply,I found that the parameters of 'pred_boxes' in a batch are equally distributed.
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ZhongkaiZ
commented on June 23, 2024
Please check the log and make sure that loss is dropping.
Train loss is dropping
such as :
"train_class_error": 1.6918702916952688, "train_loss": 1.4451521763076676,
"train_class_error": 1.5234429799695726, "train_loss": 1.3731449029435672
"train_class_error": 1.2739102990058675, "train_loss": 1.3295617185044655,
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JackyTown
commented on June 23, 2024
Maybe you can check outputs of starting and ending score conv.
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ZhongkaiZ
commented on June 23, 2024
Maybe you can check outputs of starting and ending score conv.
tanks,I will try to transfer the weight of BMN and freeze the update.
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Related Issues (20)
- mAP evaluation HOT 3
- RTD code for ActivityNet-1.3 HOT 4
- from datasets import build_dataset ;from models import build_model HOT 1
- I have a problem HOT 1
- A question about reproducibility~
- a question for training HOT 1
- TEM_scores HOT 5
- labe issue HOT 4
- about activitynet feature HOT 4
- about anet code HOT 4
- a problem HOT 2
- about thumos14 annotation HOT 3
- Results HOT 3
- Hello, may I ask, in the paper, the training is carried out in two stages, but in the code at that time, the training is carried out in three stages, why? How do they correspond to each other HOT 2
- ActivityNet HOT 8
- ANet HOT 10
- about TEM HOT 1
- about RTD in Anet HOT 1
- temporal action detection HOT 1
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