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 421430 of 1576 papers

TitleStatusHype
LiDAR Distillation: Bridging the Beam-Induced Domain Gap for 3D Object DetectionCode1
Point2Seq: Detecting 3D Objects as SequencesCode1
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
MonoDTR: Monocular 3D Object Detection with Depth-Aware TransformerCode1
Stereo Neural Vernier CaliperCode1
VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial AttentionCode1
WeakM3D: Towards Weakly Supervised Monocular 3D Object DetectionCode1
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object DetectionCode1
PillarGrid: Deep Learning-based Cooperative Perception for 3D Object Detection from Onboard-Roadside LiDARCode1
Point Density-Aware Voxels for LiDAR 3D Object DetectionCode1
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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