Submission: NIDS-Net_basic/TUD-L
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| Submission name |
|
| Submission time (UTC) |
May 8, 2024, 10:29 p.m.
|
| User |
yangxiaolu
|
| Task |
Model-based 2D detection of unseen objects |
| Dataset |
TUD-L |
| Description |
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| Evaluation scores |
| AP: | 0.434 |
| AP50: | 0.775 |
| AP75: | 0.462 |
| AP_large: | 0.309 |
| AP_medium: | 0.474 |
| AP_small: | 0.047 |
| AR1: | 0.554 |
| AR10: | 0.577 |
| AR100: | 0.577 |
| AR_large: | 0.501 |
| AR_medium: | 0.573 |
| AR_small: | 0.475 |
| average_time_per_image: | 0.487 |
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| User |
yangxiaolu
|
| Publication |
https://arxiv.org/abs/2405.17859 |
| Implementation |
https://github.com/YoungSean/NIDS-Net |
| Training image modalities |
RGB |
| Test image modalities |
RGB |
| Description |
Basic NIDS-Net without adapters
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| Computer specifications |
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