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- GitHub - megvii-research PETR: [ECCV2022] PETR: Position Embedding . . .
PETR develops position embedding transformation (PETR) for multi-view 3D object detection PETR encodes the position information of 3D coordinates into image features, producing the 3D position-aware features
- [2203. 05625] PETR: Position Embedding Transformation for Multi-View 3D . . .
In this paper, we develop position embedding transformation (PETR) for multi-view 3D object detection PETR encodes the position information of 3D coordinates into image features, producing the 3D position-aware features
- All About Petr: The Stickers That Stole Hearts At UC Irvine
Created by an anonymous student in 2018, Petr the Anteatr is the quirky mascot of an entire sticker distribution movement Petr the Anteatr started as an Instagram account (@petr_the_anteatr) that quickly gained a cult following
- Petr - Wikipedia
Petr is a Czech form of the masculine given name Peter and a surname For information on Petr as a first name, see Peter (given name)
- No cost, place, or time: The UC Irvine Petr sticker community
Transforming spaces on campus as they wish; the Petr sticker community has mastered the art of spontaneous spatial occupations Drop sites cultivate interactions between members to discuss sticker trades or to talk to old and new friends Petr can be anywhere, or nowhere, within minutes
- arXiv:2203. 05625v3 [cs. CV] 19 Jul 2022
Experiments show that PETR achieves state-of-the-art performance (50 4% NDS and 44 1% mAP) on standard nuScenes dataset and ranks 1st place on 3D object detection leaderboard
- PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images
Considering the simplicity of PETR, we wonder if it is possible for the sparse-query paradigm in PETR to follow the success of BEV-based methods In this paper, we aim to build a strong and unified framework by extending the PETR with temporal modeling and the sup-port for multi-task learning
- PETR README. md at main · megvii-research PETR · GitHub
PETR develops position embedding transformation (PETR) for multi-view 3D object detection PETR encodes the position information of 3D coordinates into image features, producing the 3D position-aware features
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