ChamudithaJay/PASLCD
Multi-View Pose-Agnostic Change Localization with Zero Labels (CVPR - 2025) We introduce the Pose-Agnostic Scene-Level Change Detection Dataset (PASLCD), comprising data collected from 10 complex, real-world scenes, including 5 indoor and 5 outdoor environments. PASLCD enables the evaluation of scene-level change detection, with multiple simultaneous changes per scene and ``distractor'' visual changes (i.e.~varying lighting, shadows, or reflections). Among the indoor and… See the full description on the dataset page: https://huggingface.co/datasets/ChamudithaJay/PASLCD.
| Author / organization | ChamudithaJay |
|---|---|
| License (as declared) | mit |
| Downloads | 1.7K (as reported by Hugging Face) |
| Likes | 0 |
| Created | 27 May 2025 |
| Last updated at source | 24 February 2026 |
Popularity, last 2 days
1,697 now (-57 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Multi-View Pose-Agnostic Change Localization with Zero Labels (CVPR - 2025) We introduce the Pose-Agnostic Scene-Level Change Detection Dataset (PASLCD), comprising data collected from 10 complex, real-world scenes, including 5 indoor and 5 → Multi-View Pose-Agnostic Change Localization with Zero Labels (CVPR - 2025) We introduce the Pose-Agnostic Scene-Level Change Detection Dataset (PASLCD), comprising data collected from 10 complex, real-world scenes, including 5 indoor and 5
Changes detected by Silytics between refreshes of the source.
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.