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

Showing 361370 of 1576 papers

TitleStatusHype
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 Distillation0
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection0
UADA3D: Unsupervised Adversarial Domain Adaptation for 3D Object Detection with Sparse LiDAR and Large Domain GapsCode1
SSF3D: Strict Semi-Supervised 3D Object Detection with Switching Filter0
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 Tasks0
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object DetectionCode3
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified