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

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

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Origin blog.csdn.net/weixin_45657478/article/details/132517035

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

A Survey of Monocular 3D Object Detection

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

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

[Paper Notes] NeRF-RPN: A general framework for object detection in NeRFs

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

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

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

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

Monocular Vision Object Detection

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

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

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

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

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

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

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

EfficientDet: Scalable and Efficient Object Detection Paper Notes

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

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

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

[Notes] paper ELMo: Deep contextualized word representations

LATR：3D Lane Detection from Monocular Images with Transformer

Paper: CenterNet: Keypoint Triplets for Object Detection reading notes

[Notes] paper FCOS: Fully Convolutional One-Stage Object Detection

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