Cross Modal Transformer: Towards Fast and Robust 3D Object Detection ICCV 2023 在本文中,我们提出了 Cross-Modal Transformer (CMT),这是一种简单而有效的端到端管道,用于鲁棒的 3D 对象检测(见图 1(c))。首先,我们提出了坐标编码模块(CEM),它通过将 3D 点集隐式编码为多模态标记来生成位置感知特征。具体...
解决:找不到 projects 包的原因是因为没有配置 python path。在 from projects.mmdet3d_plugin.datasets import CustomNuScenesDataset 之前插入代码: importsyssys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(__file__)))print(sys.path) 7.训练时 bug 1.找不到文件路径 FileNotFoundError:...
在本文,提出了 Cross-Modal Transformer (CMT),这是一种简单但有效的端到端管道,用于鲁棒3D 对象检测。 首先,提出了坐标编码模块(CEM),它通过将 3D 点集隐式编码为多模态标记来生成位置感知特征。具体来说,对于相机图像,从视锥体空间采样的 3D 点用于指示每个像素的 3D 位置的概率。而对于 LiDAR,BEV 坐标只是...
To tackle these limitations, we propose a multi-task learning framework named Cross-Modal Multitask Transformer (CMMT), which incorporates two auxiliary tasks to learn the aspect/sentiment-aware intra-modal representations and introduces a Text-Guided Cross-Modal Interaction Module to dynamically control...
Cross Modal Transformer: Towards Fast and Robust 3D Object Detection Junjie Yan Yingfei Liu ✉ Jianjian Sun Fan Jia Tiancai Wang Xiangyu Zhang MEGVII Technology Shuailin Li Abstract In this paper, we propose a robust 3D detector, named Cross Modal Transformer (...
LexLIP检索的底层模型是一个双流多模态模型,一侧为文本Encoder,另一侧为图像Encoder,两个Encoder都采用Transformer的形式,需要输图像或文本每个位置的预测字典中各个token的分布。最后需要在序列维度上做maxpooling,得到整个文本或图像各个词的重要度分布。以图像侧为例,先使用Transformer得到每个位置的预测token分布,维度为pa...
[ICCV 2023] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection - Woogie-Boogie/CMT
针对这些输入,作者加入了位置编码,然后输入到 Transformer encoder 中,进行特征提取。在预训练阶段,作者采用了三个损失函数,即:Masked Language Modeling(MLM), Masked Object Classification(MOC) and Visual-linguistic Matching(VLM)。感觉也是主流的预训练目标。
Dance Style Transfer with Cross-modal Transformer Wenjie Yin*, Hang Yin*, Kim Baraka†, Danica Kragic*, and Ma˚rten Bjo¨rkman* *KTH Royal Institute of Technology, Stockholm, Sweden †Vrije Universiteit Amsterdam, Amsterdam, Netherlands yinw@kth.se, hyin@kth.se, k.baraka@vu.nl,...
(TIP 2023) CAVER: Cross-Modal View-Mixed Transformer for Bi-Modal Salient Object Detection @article{CAVER-TIP2023, author={Pang, Youwei and Zhao, Xiaoqi and Zhang, Lihe and Lu, Huchuan}, journal={IEEE Transactions on Image Processing}, title={CAVER: Cross-Modal View-Mixed Transformer for ...