Sparse r-cnn: End-to-end object detection with learnable proposals
Abstract We present Sparse R-CNN, a purely sparse method for object detection in images.
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
[PDF][PDF] Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan… - researchgate.net
Abstract We present Sparse R-CNN, a purely sparse method for object detection in images.
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong, C Xu… - IEEE Computer Vision …, 2021 - hub.hku.hk
We present Sparse R-CNN, a purely sparse method for object detection in images. Existing
works on object detection heavily rely on dense object candidates, such as k anchor boxes …
works on object detection heavily rely on dense object candidates, such as k anchor boxes …
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong, C Xu, W Zhan… - arXiv preprint arXiv …, 2020 - arxiv.org
We present Sparse R-CNN, a purely sparse method for object detection in images. Existing
works on object detection heavily rely on dense object candidates, such as $ k $ anchor …
works on object detection heavily rely on dense object candidates, such as $ k $ anchor …
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong, C Xu… - 2021 IEEE/CVF …, 2021 - computer.org
Abstract We present Sparse R-CNN, a purely sparse method for object detection in images.
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
[引用][C] Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong, C Xu… - 2021 IEEE/CVF …, 2021 - cir.nii.ac.jp
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals | CiNii Research
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データを …
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong, C Xu… - 2021 IEEE/CVF …, 2021 - ieeexplore.ieee.org
We present Sparse R-CNN, a purely sparse method for object detection in images. Existing
works on object detection heavily rely on dense object candidates, such as k anchor boxes …
works on object detection heavily rely on dense object candidates, such as k anchor boxes …
Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong, C Xu… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Abstract We present Sparse R-CNN, a purely sparse method for object detection in images.
Existing works on object detection heavily rely on dense object candidates, such as $ k …
Existing works on object detection heavily rely on dense object candidates, such as $ k …
Sparse R-CNN: End-to-End Object Detection With Learnable Proposals
P Sun, R Zhang, Y Jiang, T Kong… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract We present Sparse R-CNN, a purely sparse method for object detection in images.
Existing works on object detection heavily rely on dense object candidates, such as k anchor …
Existing works on object detection heavily rely on dense object candidates, such as k anchor …