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Monocular 3D Object Detection

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보존된 평가 기록: 72

Monocular 3D Object Detection is the task to draw 3D bounding box around objects in a single 2D RGB image. It is localization task but without any extra information like depth or other sensors or multiple-images.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/kuanchihhuang/monodtr

공식 코드

MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer

https://github.com/lianqing11/monojsg

공식 코드

MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection

https://github.com/lzccccc/SMOKE

공식 코드

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

https://github.com/mediabrain-sjtu/where2comm

공식 코드

Where2comm: Communication-Efficient Collaborative Perception via Spatial Confidence Maps

https://github.com/mikasa3lili/ssd-monodetr

공식 코드

SSD-MonoDETR: Supervised Scale-aware Deformable Transformer for Monocular 3D Object Detection

https://github.com/monster-ghost/monodistill

공식 코드

MonoDistill: Learning Spatial Features for Monocular 3D Object Detection

https://github.com/mrsempress/obmo

공식 코드

OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection

https://github.com/mumianyuxin/M3DSSD

공식 코드

M3DSSD: Monocular 3D Single Stage Object Detector

https://github.com/open-mmlab/mmdetection3d

공식 코드

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

https://github.com/phyllish/dvdet

공식 코드

Aerial Monocular 3D Object Detection

https://github.com/pufanqi23/monodgp

공식 코드

MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors

https://github.com/revisitq/Pseudo-Stereo-3D

공식 코드

Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

https://github.com/sanmin0312/labeldistill

공식 코드

LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object Detection

https://github.com/senwang98/monoskd

공식 코드

MonoSKD: General Distillation Framework for Monocular 3D Object Detection via Spearman Correlation Coefficient

https://github.com/skmhrk1209/VSRD

공식 코드

VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection

https://github.com/spengliang/did-m3d

공식 코드

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

https://github.com/spengliang/lpcg

공식 코드

Lidar Point Cloud Guided Monocular 3D Object Detection

https://github.com/spengliang/occupancym3d

공식 코드

Learning Occupancy for Monocular 3D Object Detection

https://github.com/spengliang/weakm3d

공식 코드

WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection

https://github.com/sunh18/monosim

공식 코드

MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection

https://github.com/supermhp/gupnet

공식 코드

Geometry Uncertainty Projection Network for Monocular 3D Object Detection

https://github.com/supermhp/gupnet_plus

공식 코드

GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object Detection

https://github.com/tai-wang/depth-from-motion

공식 코드

Monocular 3D Object Detection with Depth from Motion

https://github.com/thusiyuan/cooperative_scene_parsing

공식 코드

Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

https://github.com/tjiiv-cprg/MonoRUn

공식 코드

MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

https://github.com/tri-ml/dd3d

공식 코드

Is Pseudo-Lidar needed for Monocular 3D Object detection?

https://github.com/visualaikhu/monowad

공식 코드

MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection

https://github.com/xinshuoweng/mono3D_PLiDAR

공식 코드

Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud

https://github.com/xinzhuma/monodle

공식 코드

Delving into Localization Errors for Monocular 3D Object Detection

https://github.com/yanglei18/Lite-FPN

공식 코드

Lite-FPN for Keypoint-based Monocular 3D Object Detection

https://github.com/yanglei18/mix-teaching

공식 코드

Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection

https://github.com/yinyunie/Total3DUnderstanding

공식 코드

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

https://github.com/zhangyp15/MonoFlex

공식 코드

Objects are Different: Flexible Monocular 3D Object Detection

https://github.com/zhangyp15/simmod

공식 코드

A Simple Baseline for Multi-Camera 3D Object Detection

https://github.com/zhanyang-nwpu/mono3dvg

공식 코드

Mono3DVG: 3D Visual Grounding in Monocular Images

https://github.com/zhouzheyuan/sgm3d

공식 코드

SGM3D: Stereo Guided Monocular 3D Object Detection

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.