【2022】将3D目标检测看作序列预测-Point2Seq: Detecting 3D Objects as Sequences - 代码天地

【2022】将3D目标检测看作序列预测-Point2Seq: Detecting 3D Objects as Sequences

企业开发 2022-04-22 15:18:47 阅读次数: 0

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转载自blog.csdn.net/weixin_44936889/article/details/124338546

【2022】将3D目标检测看作序列预测-Point2Seq: Detecting 3D Objects as Sequences

SDOD: Real-time Segmenting and Detecting 3D Objects by Depth（实时3D检测与分割）

【目标检测】CornerNet: Detecting Objects as Paired Keypoints

A New Representation of Skeleton Sequences for 3D Action Recognition

目标检测系列（七）——CornerNet：detecting objects as paired keypoints

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3D Reconstruction of Transparent Objects with Position-Normal Consistency

CornerNet: Detecting Objects as Paired Keypoints

带注释的 3D 对象世界——Objaverse-XL_ A Universe of 10M+ 3D Objects——2023

论文翻译：A New Representation of Skeleton Sequences for 3D Action Recognition

目标检测论文：CornerNet: Detecting Objects as Paired Keypoints及其PyTorch实现

最强目标检测网络 54.7AP | DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous

Vox-E: Text-guided Voxel Editing of 3D Objects（3D目标的文本引导体素编辑）

3D【18】深度信息增强：Real-Time Depth Refinement for Specular Objects

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer paper

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

【论文阅读】Pose from Shape: Deep Pose Estimation for Arbitrary 3D Objects

ECCV 2018 | CornerNet：Detecting Objects as Paired Keypoints

论文阅读 | CornerNet：Detecting Objects as Paired Keypoints

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【CornerNet】《CornerNet: Detecting Objects as Paired Keypoints》

论文阅读：CornerNet: Detecting Objects as Paired Keypoints

读论文：Recognizing Objects in Range Data Using Regional Point Descriptors （3D shape context 形状描述子）

3D目标检测

多尺度R-CNN(2): Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural

CornerNet:Detecting Objects as Paired Keypoints论文笔记

《CornerNet：Detecting Objects as Paired Keypoints》论文笔记

ECCV2018 | 论文阅读CornerNet: Detecting Objects as Paired Keypoints

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论文：CornerNet: Detecting Objects as Paired Keypoints 阅读笔记

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