05 2024 档案

[Paper Reading] MOTR: End-to-End Multiple-Object Tracking with Transformer
摘要：MOTR: End-to-End Multiple-Object Tracking with Transformer link 时间：22.07 机构：Megvii TL;DR 传统MOT通过motion与appearance来建模，有复杂的后处理难以E2E。本文基于DETR设计出MOTR算法，通过 阅读全文
posted @ 2024-05-30 23:12 fariver 阅读(348) 评论(0) 推荐(0) 编辑
[Paper Reading] FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin
摘要：FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin link 时间：23.11 机构：houmo.ai 后摩智能 TL;DR 当时比较流行的OCC方案内存与计算复杂度较高，本文提出 阅读全文
posted @ 2024-05-29 20:52 fariver 阅读(121) 评论(0) 推荐(0) 编辑
[Paper Reading] Scene as Occupancy
摘要：Scene as Occupancy link 时间：23.06 机构：Shanghai AI Lab && SenseTime && CUHK TL;DR 提出使用3D Occupancy来表征3D物理场景，相对于3D检测框，3D Occ可提供更细粒度细节。提出OccNet一种多目级连的时序模型， 阅读全文
posted @ 2024-05-22 17:17 fariver 阅读(117) 评论(0) 推荐(0) 编辑
[Paper Reading] BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
摘要：BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers link 时间：22.07 机构：Nanjing University && Sha 阅读全文
posted @ 2024-05-20 21:44 fariver 阅读(131) 评论(0) 推荐(0) 编辑
[Paper Reading] PETR: Position Embedding Transformation for Multi-View 3D Object Detection
摘要：PETR: Position Embedding Transformation for Multi-View 3D Object Detection PETR: Position Embedding Transformation for Multi-View 3D Object Detection 阅读全文
posted @ 2024-05-15 16:58 fariver 阅读(214) 评论(0) 推荐(0) 编辑
[Paper Reading] BEVDet: High-Performance Multi-Camera 3D Object Detection in Bird-Eye-View
摘要：BEVDet: High-Performance Multi-Camera 3D Object Detection in Bird-Eye-View BEVDet 时间：21/12 机构：PhiGo(鉴智机器人) TL;DR 一种BEV空间做detection的方法，构建了新颖的数据增强方法以及更新 阅读全文
posted @ 2024-05-14 14:12 fariver 阅读(125) 评论(0) 推荐(0) 编辑
[Paper Reading] OFT Orthographic Feature Transform for Monocular 3D Object Detection
摘要：OFT Orthographic Feature Transform for Monocular 3D Object Detection OFT Orthographic Feature Transform for Monocular 3D Object Detection 时间：18.11 机构： 阅读全文
posted @ 2024-05-07 21:22 fariver 阅读(107) 评论(0) 推荐(0) 编辑
[Paper Reading] LSS: Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D
摘要：名称 Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D 时间：20.08 机构：NVIDIA TL;DR 后融合方法将每一目感知结果通过相机参数转换到BEV空 阅读全文
posted @ 2024-05-06 22:58 fariver 阅读(168) 评论(0) 推荐(0) 编辑

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