Submission: NIDS-Net_WA_Sappe/TUD-L
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| Submission name |
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| Submission time (UTC) |
May 8, 2024, 10:59 p.m.
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| User |
yangxiaolu
|
| Task |
Model-based 2D detection of unseen objects |
| Dataset |
TUD-L |
| Description |
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| Evaluation scores |
| AP: | 0.486 |
| AP50: | 0.829 |
| AP75: | 0.522 |
| AP_large: | 0.414 |
| AP_medium: | 0.525 |
| AP_small: | 0.363 |
| AR1: | 0.584 |
| AR10: | 0.598 |
| AR100: | 0.598 |
| AR_large: | 0.595 |
| AR_medium: | 0.592 |
| AR_small: | 0.475 |
| average_time_per_image: | 0.489 |
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| User |
yangxiaolu
|
| Publication |
https://arxiv.org/pdf/2405.17859 |
| Implementation |
https://github.com/YoungSean/NIDS-Net |
| Training image modalities |
RGB |
| Test image modalities |
RGB |
| Description |
NIDS-Net + Weight Adapter + S_appe
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| Computer specifications |
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