2023年11月29日 · CT3D是一种改进的3D目标检测框架，具有通道注意力解码模块和全局提案感知表示，可提高解码权重和检测效果。实验证明CT3D在KITTI和Waymo数据集上表现优于最先 …

Overview of CT3D. The raw points are first fed into the RPN for generating 3D proposals. Then the raw points along with the corresponding proposals are processed by the channel-wise …

2021年8月23日 · In this paper, we leverage the high-quality region proposal network and a Channel-wise Transformer architecture to constitute our two-stage 3D object detection …

Motivated by the recent Transformer-based 2D detection method DETR that uses CNN backbone to extract features and encoder decoder Transformer to enhance the RoI region features, we …

In this paper, we leverage the high-quality region proposal network and a Channel-wise Transformer architecture to constitute our two-stage 3D object detection framework (CT3D) …

2024年11月12日 · Improving 3D Object Detection with Channel-wise Transformer (CT3D) 介绍了一种基于通道级Transformer的3D物体检测框架，旨在利用Transformer在捕获远程空间关系方 …

2024年6月12日 · Firstly, we propose CT3D, which sequentially performs raw-point-based embedding, a standard Transformer encoder, and a channel-wise decoder for point features …

我们有两个重要贡献：1）提出端到端的两阶段3D物体检测模型：CT3D，收DETR和Transformer的影响。第一阶段是学习每个框的表示通过整合新的Transformer结构：解码基于 …

2025年3月20日 · In comparison to CT3D, CT3D++ introduces two new modules that can replace their counterparts in CT3D, formed keypoint-induced channel-wise Transformer in the second …

Overview of CT3D. The raw points are first fed into the RPN for generating 3D proposals. Then the raw points along with the corresponding proposals are processed by the channel-wise …