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 471480 of 1576 papers

TitleStatusHype
Mono3DVG: 3D Visual Grounding in Monocular ImagesCode1
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object DetectionCode1
Instance-aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning0
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel ObjectsCode4
Weakly Supervised 3D Object Detection via Multi-Level Visual GuidanceCode1
Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops0
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline0
3D Copy-Paste: Physically Plausible Object Insertion for Monocular 3D DetectionCode1
SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated VehiclesCode1
ScAR: Scaling Adversarial Robustness for LiDAR Object DetectionCode0
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Benchmark Results

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