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 241–250 of 1576 papers

TitleStatusHype
Do You Remember . . . the Future? Weak-to-Strong generalization in 3D Object DetectionCode0
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions—0
Complete 3d relationships extraction modality alignment network for 3d dense captioning—0
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection—0
Harnessing Uncertainty-aware Bounding Boxes for Unsupervised 3D Object DetectionCode1
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection—0
InScope: A New Real-world 3D Infrastructure-side Collaborative Perception Dataset for Open Traffic ScenariosCode1
WARM-3D: A Weakly-Supervised Sim2Real Domain Adaptation Framework for Roadside Monocular 3D Object DetectionCode1
Robust Multimodal 3D Object Detection via Modality-Agnostic Decoding and Proximity-based Modality EnsembleCode1
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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
2MMFusion-eNDS0.77—Unverified
3MegFusionNDS0.77—Unverified
4RacoonPowerNDS0.76—Unverified
5BEVFusion-eNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8DAANDS0.75—Unverified
9FusionVPENDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified