3D box classic paper - "Multimodal 3D Object Detection from Simulated Pretraining" learning record - Code World

3D box classic paper - "Multimodal 3D Object Detection from Simulated Pretraining" learning record

Enterprise 2023-04-09 02:06:17 views: null

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Origin blog.csdn.net/ZHUO__zhuo/article/details/125506088

3D box classic paper - "Multimodal 3D Object Detection from Simulated Pretraining" learning record

Deep learning paper sharing (1) ByteTrackV2: 2D and 3D Multi-Object T racking by Associating Every Detection Box

Interpretation of the paper｜VoxelNet: End-to-end learning for point cloud-based 3D object detection

Paper translation: "DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D Queries"

[Paper Notes] NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

[Paper Reading] Multi-Object Tracking—ByteTrackV2: 2D and 3D Multi-Object Tracking by Associating Every Detection Box

Multimodal Fusion 2022|TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

Paper reading-Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Image

【3D 目标检测】2019 CVPR Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles

Paper reading: "Bridging the Gap in 3D Object Detection for Autonomous Driving"

Paper reading: EPNet: Enhancing Point Features with ImageSemantics for 3D Object Detection

Time Will Tell: New Outlooks and A Baseline for Temporal Multi-View 3D Object Detection - Paper Notes

MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection Paper Interpretation

Paper interpretation | Original PV-RCNN network for 3D object detection

Paper Interpretation | Center-based 3D Object Detection and Tracking

[Paper Notes] PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds

[Paper Notes] SVDM: Single-View Diffusion Model for Pseudo-Stereo 3D Object Detection

[Paper Notes] MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection

[Paper Notes] Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

A Survey of Monocular 3D Object Detection

BEVSimDet：Simulated Multi-modal Distillation in Bird’s-Eye View for Multi-view 3D Object Detection

Multimodal Fusion 2022|DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection Reading Notes

[Paper Notes] SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model

[3D Object Detection/Autonomous Driving] IA-BEV: Instance-aware 3D object detection based on structural priors and self-reinforcement learning (AAAI 2024)

3D 박스 클래식 페이퍼 - "Simulated Pretraining의 Multimodal 3D Object Detection" 학습 기록

ICLR 2023 | Reducing High Annotation Costs in 3D Object Detection Using Active Learning

[Paper Notes] RCM-Fusion: Radar-Camera Multi-Level Fusion for 3D Object Detection

VISTA Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention paper personal summary

3D box

Overview: 3D object detection in RGB-D (Object detection in RGB-D images)

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