3D Object Detection (30) 썸네일형 리스트형 [BMVC 2021] 2.5D-VoteNet: Depth Map based 3D object detection for real-time applications https://www.bmvc2021-virtualconference.com/assets/papers/0501.pdf 본 논문에서는 depth map에서 2d cnn을 이용해 direct하게 feature를 포착하여 3d object detection을 하는 task를 제안한다. input은 3d point cloud가 아니라 2d로 누른 depth map을 사용한다. 대부분의 3d object detection 방법론의 경우 point cloud를 input으로 하여 좋은 결과를 보이지만, mobile device에 적용하거나 real-time scenario에 적용하기에는 많은 연산량과 복잡도로 인해 어려움이 있다고 한다. 따라서 본 논문에서는 depth map기반의 3d detection pipel.. [CVPR2023] PiMAE:Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection https://arxiv.org/pdf/2303.08129.pdf https://github.com/BLVLab/PiMAE GitHub - BLVLab/PiMAE: [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for [CVPR2023] Official implementation of “PiMAE: Point cloud and Image Interactive Masked Autoencoders for 3D Object Detecion” - GitHub - BLVLab/PiMAE: [CVPR2023] Official implementation of “PiMAE: Po... g.. [WACV2023] Masked Autoencoder for Self-Supervised Pre-training on Lidar Point Clouds https://arxiv.org/pdf/2207.00531.pdf https://github.com/georghess/voxel-mae [ECCV 2022] Masked Autoencoders for Point CloudSelf-supervised Learning https://www.ecva.net/papers/eccv_2022/papers_ECCV/papers/136620591.pdf https://github.com/Pang-Yatian/Point-MAE GitHub - Pang-Yatian/Point-MAE: [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning - GitHub - Pang-Yatian/Point-MAE: [ECCV2022] Masked Autoencoders for Point Cloud Self-supervised Learning gith.. [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds https://arxiv.org/pdf/2203.11183.pdf https://github.com/haotian-liu/MaskPoint GitHub - haotian-liu/MaskPoint: [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds - GitHub - haotian-liu/MaskPoint: [ECCV 2022] Masked Discrimination for Self-Supervised Learning on Point Clouds github.com masked.. [ECCV 2020] Generative Sparse Detection Networks for 3D Single-shot Object Detection https://arxiv.org/pdf/2006.12356.pdf https://github.com/jgwak/GSDN GitHub - jgwak/GSDN: Generative Sparse Detection Networks for 3D Single-shot Object Detection Generative Sparse Detection Networks for 3D Single-shot Object Detection - GitHub - jgwak/GSDN: Generative Sparse Detection Networks for 3D Single-shot Object Detection github.com 3d object detection task는 정확한 물체의 위치를 검출하는데 큰 도움이 되지만 3d .. [ECCV 2020] EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection 리뷰 https://arxiv.org/pdf/2007.08856.pdf https://github.com/happinesslz/EPNet GitHub - happinesslz/EPNet: EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020) EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(ECCV 2020) - GitHub - happinesslz/EPNet: EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection(EC... github... A survey on RGB-D datasets Sensors depth sensor의 category는 크게 Structured Light, Time-of-Flight(TOF), Light Detection and Ranging(LiDAR), Stereo Camera Sensing으로 나눌 수 있다. (a)는 Structured Light센서를 활용한 NYUv2, (b)는 ToF센서를 활용한 AVD, (c)는 LiDAR를 활용한 KITTI, (d)는 Stereo Camera를 활용한 ReDWeb이다. 초음파(ultrasonic)센서나 Radar센서도 distance 정보를 제공하지만, RGB data와 관련한 depth 정보를 주지는 못하기 때문에 함께 사용되는 경우는 드물다. Structured Light Structured Light sensor.. 이전 1 2 3 4 다음
