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 1421–1430 of 1576 papers

TitleStatusHype
Scalable Primitives for Generalized Sensor Fusion in Autonomous Vehicles—0
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans—0
Scatter Points in Space: 3D Detection from Multi-view Monocular Images—0
SceneScript: Reconstructing Scenes With An Autoregressive Structured Language Model—0
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System—0
SCP: Scene Completion Pre-training for 3D Object Detection—0
SDGE: Stereo Guided Depth Estimation for 360^ Camera Sets—0
SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection—0
SEFormer: Structure Embedding Transformer for 3D Object Detection—0
Selectively Dilated Convolution for Accuracy-Preserving Sparse Pillar-based Embedded 3D Object Detection—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
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