Denet: Scalable real-time object detection with directed sparse sampling

L Tychsen-Smith, L Petersson - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
We define the object detection from imagery problem as estimating a very large but
extremely sparse bounding box dependent probability distribution. Subsequently we identify …
被引用次数：150 相关文章

DeNet: Scalable Real-Time Object Detection with Directed Sparse Sampling

L Tychsen-Smith, L Petersson - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
We define the object detection from imagery problem as estimating a very large but
extremely sparse bounding box dependent probability distribution. Subsequently we identify …

DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling

L Tychsen-Smith, L Petersson - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
We define the object detection from imagery problem as estimating a very large but
extremely sparse bounding box dependent probability distribution. Subsequently we identify …

DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling

L Tychsen-Smith, L Petersson - arXiv preprint arXiv:1703.10295, 2017 - arxiv.org
We define the object detection from imagery problem as estimating a very large but
extremely sparse bounding box dependent probability distribution. Subsequently we identify …
[PDF] researchgate.net

[PDF][PDF] DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling

L Tychsen-Smith, L Petersson - arXiv preprint arXiv:1703.10295, 2017 - researchgate.net
We define the object detection from imagery problem as estimating a very large but
extremely sparse bounding box dependent probability distribution. Subsequently we identify …

[引用][C] DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling

L Tychsen-Smith, L Petersson