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

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

Enterprise 2023-09-14 00:55:33 views: null

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Origin blog.csdn.net/ZauberC/article/details/132604830

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

A Survey of Monocular 3D Object Detection

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

LPCG: Guided Monocular 3D Object Detection with Laser Point Clouds

LATR：3D Lane Detection from Monocular Images with Transformer

DEMM:Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection

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

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

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

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

[Interpretation of the paper] Camouflaged Object Detection

Monocular Vision Object Detection

论文解读：SMOKE：SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

Image Detection- FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection (ICCVW 2021)

Paper Interpretation--K-Radar: 4D Radar Object Detection for Autonomous Driving in Various Weather Conditions

3D Packing for Self-Supervised Monocular Depth Estimation Paper Notes

Interpretation of the paper: End-to-End Object Detection with Transformers

Paper Interpretation--CNN based Road User Detection using the 3D Radar Cube

Paper's EfficientDet: Translation and Interpretation of "Scalable and Efficient Object Detection—Scalable and Efficient Object Detection"—Sequel

[Target detection] Target detection meets knowledge graph: Interpretation and reproduction of Object detection meets knowledge graphs paper

Sliding Shapes for 3D Object Detection in Depth Images

【CMT】Cross Model Transformer:Towards Fast and Robust 3D Object Detection

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

Paper Interpretation|[AAAI2023]DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer

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

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

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

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