paper-with-me

3D Object Detection

67개 벤치마크 · 논문 1,801편 · 이 태스크의 논문 보기 →

Benchmarks

nuScenes

결과 2238개

ScanNetV2

결과 200개

SUN-RGBD val

결과 192개

KITTI Cars Easy

결과 156개

KITTI Cars Hard

결과 150개

nuScenes Camera Only

결과 114개

KITTI Cyclists Easy

결과 72개

KITTI Cyclists Hard

결과 72개

KITTI Cars Easy val

결과 66개

View-of-Delft (val)

결과 66개

nuscenes Camera-Radar

결과 66개

KITTI Cars Hard val

결과 60개

DAIR-V2X-I

결과 54개

KITTI Pedestrians Easy

결과 54개

KITTI Pedestrians Hard

결과 54개

Rope3D

결과 49개

Waymo Open Dataset

결과 49개

SUN-RGBD

결과 48개

waymo vehicle

결과 48개

S3DIS

결과 42개

nuScenes LiDAR only

결과 42개

waymo cyclist

결과 42개

waymo pedestrian

결과 42개

Argoverse

결과 36개

V2XSet

결과 36개

DTTD-Mobile

결과 30개

OPV2V

결과 30개

SimBEV

결과 30개

V2X-SIM

결과 30개

TruckScenes

결과 25개

ARKitScenes

결과 24개

Aria Everyday Objects

결과 24개

KITTI Cyclist Easy val

결과 24개

KITTI Cyclist Hard val

결과 24개

3RScan

결과 18개

MultiScan

결과 18개

ScanNet++

결과 18개

aiMotive Dataset

결과 18개

ONCE

결과 13개

Argoverse2

결과 12개

DAIR-V2X

결과 12개

waymo all_ns

결과 12개

Cityscapes 3D

결과 6개

Clear Weather

결과 6개

Dense Fog

결과 6개

Heavy Snowfall

결과 6개

IRV2V

결과 6개

KITTI Pedestrian

결과 6개

KITTI Pedestrian Easy

결과 6개

KITTI Pedestrian Hard

결과 6개

Light Snowfall

결과 6개

NYU Depth v2

결과 6개

nuScenes-F

결과 6개

nuScenes-FB

결과 6개

Most implemented

YOLO9000: Better, Faster, Stronger

2016-12-25 · 구현 231개

Objects as Points

2019-04-16 · 구현 76개

Papers

NeuroSymbEAD: A Large Scale Neuro-Symbolic Caption Dataset for Omni-Directional Embodied Autonomous Driving

2026-09-15 · Muhammad Ahmed Ullah Khan, Mohammed Elamine, Sheikh Talha Uddin, Didier Stricker 외 arxiv

This paper introduces NeuroSymbEAD, a large-scale neuro-symbolic caption dataset featuring an ego-centric knowledge graph (KG) of static and dynamic objects annotated with classes, categories, heading directions, orienta…

Scene Understanding3D Object DetectionAutonomous Driving

SimFuse3D: Source-Guided Target Simulation and Confidence-Guided Multi-Stage Localization Reweighting for Cross-Platform 3D Object Detection

2026-09-04 · Yongchun Lin, Xinliang Zhang, Yun Zou, Zhixuan Xiao 외 arxiv

Changes in sensor height and viewpoint alter object-level point distributions, making cross-platform LiDAR unsupervised domain adaptation (UDA) difficult. Self-training uses labeled source scans and unlabeled target scan…

Unsupervised Domain Adaptation3D Object Detection

Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling

2026-08-31 · Minghan Qin, Yuang Wang, Xiuyu Yang, Yushi Long 외 hf

Composable scene modeling aims to recover a real indoor scene as complete, editable object assets arranged as observed, giving robot simulation and embodied AI a simulation-ready replica of the real environment whose obj…

3D Object DetectionPose Estimation

Qwen-Drive-1.0: An Initial Step towards a Vision-Language Foundation Model for Autonomous Driving

2026-08-31 · Xin Zhou, Zongchuang Zhao, Zhibo Yang, Mingsheng Li 외 hf

We present Qwen-Drive-1.0, an initial step towards a vision-language foundation model for autonomous driving. Qwen-Drive-1.0 retains the architecture of the pretrained vision-language model (VLM) and integrates 3D percep…

Visual Question AnsweringScene Understanding3D Object DetectionAutonomous Driving

TADP: Task-Aware Deformable Prediction for Single-Stage 3D Object Detection

2026-08-27 · Su Wang, Yaochen Li, Min Yang, Jiaohao Nie 외 arxiv

Most single-stage 3D object detectors complete different tasks with the same extracted features. Nevertheless, it is impossible to project features into a common space that is adaptive for all the tasks. We present a nov…

3D Object Detection

Open-Vocabulary 3D Object Detection with Co-Distillation Discovery and Dual Guidance Robust Training

2026-08-20 · Shangbo Yuan, Jie Xu, Xiaofeng Zhu, Na Zhao arxiv

Recently, open-vocabulary 3D object detection (3D-OVD) has gained increasing attention for its ability to detect unseen objects in 3D scenes. Existing approaches typically adopt a two-stage pipeline that first discovers …

3D Object Detection

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