CVPR2022论文和代码整理:https://github.com/DWCTOD/CVPR2022-Papers-with-Code-Demo Updated on : 27 Apr 2022 total number : 4 Focal Sparse Convolutional Networks for 3D Object Detection 论文/Paper: http://arxiv.org/pdf/2204.12463 代码/Code: http://github.com/dvlab-research/FocalsConv 摘要: ...
PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection 2019 (多模态)MVX-Net: Multimodal VoxelNet for 3D Object Detection code: https://paperswithcode.com/paper/mvx-net-multimodal-voxelnet-for-3d-object 摘要:最近许多关...
3D perception based on the representations learned from multi-camera bird's-eye-view (BEV) is trending as cameras are cost-effective for mass production in autonomous driving industry. However, there exists a distinct performance gap between multi-camera BEV and LiDAR based 3D object detection. On...
with 85.15 mAPH (L2) detection performance. Further experiments validate the application of taking the place of human labels with such high-quality results. Our empirical study leads to rethinking conventions and interesting findings that can guide future research on offboard 3D object detection. ...
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection(CVPR2021) paper Embracing Single Stride 3D Object Detector with Sparse Transformer(CVPR2022) paper, code Point Density-Aware Voxels for LiDAR 3D Object Detection(CVPR2022) paper, code A Unified Query-based Paradigm for Po...
代码/Code: None MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer 论文/Paper: http://arxiv.org/pdf/2203.10981 代码/Code: None Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression 论文/Paper: http://arxiv.org/pdf/2203.10897 ...
[24] Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Imagespaper|code Topic:具有全局上下文增强功能的自适应稀疏卷积网络可加快无人机图像上的目标检测速度 Absact:在资源受限的无人机平台上,低延迟无人机图像的目标检测是一项重要但具有挑战性的任务。本...
FCOS-LiDAR: Fully Convolutional One-Stage 3D Object Detection on LiDAR Range Images 本文主要提出了lidar-based 的Range View视角下的3D目标检测方法。 主要亮点: range view, 只使用标准卷积; 在range view,使用了多帧,并且优化方法能有一个比较好的效果; ...
730 papers with code • 64 benchmarks • 63 datasets 3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their ...
1 Paper Code HGSFusion: Radar-Camera Fusion with Hybrid Generation and Synchronization for 3D Object Detection garfield-cpp/hgsfusion • • 16 Dec 2024 Hence, in this paper, we present the radar-camera fusion network with Hybrid Generation and Synchronization (HGSFusion), designed to better...