SOTAVerified

3D Object Detection

3D Object Detection is a task in computer vision where the goal is to identify and locate objects in a 3D environment based on their shape, location, and orientation. It involves detecting the presence of objects and determining their location in the 3D space in real-time. This task is crucial for applications such as autonomous vehicles, robotics, and augmented reality.

( Image credit: AVOD )

Papers

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Showing 351–375 of 1576 papers

TitleStatusHype
MOSE: Boosting Vision-based Roadside 3D Object Detection with Scene Cues—0
MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object DetectionCode1
DifFUSER: Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation—0
MonoCD: Monocular 3D Object Detection with Complementary DepthsCode2
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view CamerasCode2
Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection—0
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance FieldsCode2
Weak-to-Strong 3D Object Detection with X-Ray DistillationCode0
Accurate Cutting-point Estimation for Robotic Lychee Harvesting through Geometry-aware Learning—0
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object DetectionCode1
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large ObjectsCode2
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality PropagationCode2
CRKD: Enhanced Camera-Radar Object Detection with Cross-modality Knowledge Distillation—0
SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter—0
UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain GapsCode1
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection—0
Is Your LiDAR Placement Optimized for 3D Scene Understanding?Code2
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object DetectionCode3
Impact of Video Compression Artifacts on Fisheye Camera Visual Perception Tasks—0
Point-DETR3D: Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection—0
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object DetectionCode3
CR3DT: Camera-RADAR Fusion for 3D Detection and TrackingCode1
3D Object Detection from Point Cloud via Voting Step DiffusionCode0
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban EnvironmentsCode1
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model—0
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All datasetsnuScenesScanNetV2SUN-RGBD valKITTI Cars EasyKITTI Cars HardnuScenes Camera OnlyKITTI Cars Easy valKITTI Cars Moderate valnuscenes Camera-RadarView-of-Delft (val)KITTI Cars Hard valDAIR-V2X-I

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78—Unverified
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified