Tag: point clouds
[CVPR2019] Generating 3D Adversarial Point Clouds
논문: Generating 3D Adversarial Point Clouds 우리는 항상 사용하는 데이터, 수집하는 데이터가 우리가 원하는 정보를 정확하게 담고 있다는 것을 가정하고 feature를 추출하여 여러가지 task를 수행하고…
[CVPR2020] ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
논문: ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes 블로그 시리즈:1. Review: PointNet2. Review: PointNet++3. Review: VoteNet 3D object detection 시리즈의 마지막…
[ICCV2019] Deep Hough Voting for 3D Object Detection in Point Clouds
논문: Deep Hough Voting for 3D Object Detection in Point Clouds 블로그 시리즈:1. Review: PointNet2. Review: PointNet++ 블로그 시리즈에서 언급한 바와 같이 이번 논문은 작년…
[NIPS2017] PointNet++: Deep Learning on Point Sets for 3D Classification and Segmentation
논문: PointNet++: Deep Learning on Point Sets for 3D Classification and Segmentation 블로그 시리즈:1. Review: PointNet 이번 논문은 지난 PointNet[1] 리뷰에 이어 같은 연구자 발표한…
[CVPR2017] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
논문: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 이번 논문은 point clouds data만을 사용하여 classification과 segmentation을 성공적으로 선보였던 PointNet입니다. 이 논문의…
![[CVPR2019] Generating 3D Adversarial Point Clouds](http://server.rcv.sejong.ac.kr:8080/wp-content/uploads/2020/07/Screen-Shot-2020-07-23-at-4.53.13-PM-480x360.png)
![[CVPR2020] ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes](http://server.rcv.sejong.ac.kr:8080/wp-content/uploads/2020/07/Screen-Shot-2020-07-06-at-11.10.51-AM-480x360.png)
![[ICCV2019] Deep Hough Voting for 3D Object Detection in Point Clouds](http://server.rcv.sejong.ac.kr:8080/wp-content/uploads/2020/06/teaser-480x360.jpg)
![[NIPS2017] PointNet++: Deep Learning on Point Sets for 3D Classification and Segmentation](http://server.rcv.sejong.ac.kr:8080/wp-content/uploads/2020/06/pointnet2-480x360.png)
![[CVPR2017] PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation](http://server.rcv.sejong.ac.kr:8080/wp-content/uploads/2020/06/Screen-Shot-2020-06-12-at-2.14.20-PM-480x360.png)
안녕하세요 재윤님 답글 감사합니다. 우선 질문에 대해서 생각하신게 맞고 CNN 을 타고나온 output 들이 이미 embedding vector 의 형태이므로 feature…