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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
[CVPR2023] Official Implementation of "DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets"
| Date | Stars |
|---|---|
| 2026-07-24 | 456 |
| 2026-07-25 | 456 |
| 2026-07-28 | 456 |
| 2026-07-30 | 456 |
| 2026-08-06 | 456 |
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[](https://paperswithcode.com/sota/3d-object-detection-on-waymo-vehicle?p=dsvt-dynamic-sparse-voxel-transformer-with) [](https://paperswithcode.com/sota/3d-object-detection-on-waymo-pedestrian?p=dsvt-dynamic-sparse-voxel-transformer-with) [](https://paperswithcode.com/sota/3d-object-detection-on-waymo-cyclist?p=dsvt-dynamic-sparse-voxel-transformer-with) [](https://paperswithcode.com/sota/3d-object-detection-on-nuscenes-lidar-only?p=dsvt-dynamic-sparse-voxel-transformer-with) [](https://openaccess.thecvf.com/content/CVPR2023/html/Wang_DSVT_Dynamic_Sparse_Voxel_Transformer_With_Rotated_Sets_CVPR_2023_paper.html) [](https://arxiv.org/abs/2301.06051) [](https://github.com/Haiyang-W/DSVT) # DSVT: an efficient and deployment-friendly sparse backbone for large-scale point clouds <!-- [](https://paperswithcode.com/sota/3d-object-detection-on-waymo-pedestrian?p=embracing-single-stride-3d-object-detector) [](https://paperswithcode.com/sota/3d-object-detection-on-waymo-cyclist?p=embracing-single-stride-3d-object-detector) [](https://paperswithcode.com/sota/3d-object-detection-on-waymo-vehicle?p=embracing-single-stride-3d-object-detector) --> This repo is the official implementation of CVPR paper: [DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets](https://openaccess.thecvf.com/content/CVPR2023/papers/Wang_DSVT_Dynamic_Sparse_Voxel_Transformer_With_Rotated_Sets_CVPR_2023_paper.pdf) as well as the follow-ups. Our DSVT achieves state-of-the-art performance on large-scale Waymo Open Dataset with real-time inference speed (27Hz). We have made every effort to ensure that the codebase is clean, concise, easily readable, state-of-the-art, and relies only on minimal dependencies. > DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets > > [Haiyang Wang*](https://scholar.google.com/citations?user=R3Av3IkAAAAJ&hl=en&oi=ao), Chen Shi*, Shaoshuai Shi $^\dagger$, Meng Lei, Sen Wang, Di He, Bernt Schiele, Liwei Wang $^\dagger$ > - Primary contact: Haiyang Wang ( [email protected] ) <div align="center"> <img src="assets/Figure2.png" width="500"/> </div> ## News - [24-08-12] 🔥 [GiT](https://github.com/Haiyang-W/GiT) was accepted by **ECCV2024** with **[Oral presentation](https://eccv2024.ecva.net/virtual/2024/events/oral)**. Hope you enjoy the success of **plain transformer family**. - [24-07-01] 🔥 Our [GiT](https://github.com/Haiyang-W/GiT) was accepted by **ECCV2024**. If you find it helpful, please give it a star. 🤗 - [24-03-15] 🔥 [GiT](https://github.com/Haiyang-W/GiT), the first successful general vision model only using a ViT is released. Corresponding to [Potential Research](https://github.com/Haiyang-W/UniTR
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matched fp:adaa6aacdc5c2fa4, topic:pytorch
matched fp:adaa6aacdc5c2fa4, topic:transformer