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 451–475 of 1576 papers

TitleStatusHype
ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D DataCode1
Multimodal Virtual Point 3D DetectionCode1
Learning Distilled Collaboration Graph for Multi-Agent PerceptionCode1
Object DGCNN: 3D Object Detection using Dynamic GraphsCode1
DETR3D: 3D Object Detection from Multi-view Images via 3D-to-2D QueriesCode1
Frustum-PointPillars: A Multi-Stage Approach for 3D Object Detection using RGB Camera and LiDARCode1
MVM3Det: A Novel Method for Multi-view Monocular 3D DetectionCode1
Advancing Self-supervised Monocular Depth Learning with Sparse LiDARCode1
An End-to-End Transformer Model for 3D Object DetectionCode1
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle CommunicationCode1
Voxel Transformer for 3D Object DetectionCode1
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object DetectionCode1
4D-Net for Learned Multi-Modal AlignmentCode1
Spatio-temporal Self-Supervised Representation Learning for 3D Point CloudsCode1
AutoShape: Real-Time Shape-Aware Monocular 3D Object DetectionCode1
Improving 3D Object Detection with Channel-wise TransformerCode1
ODAM: Object Detection, Association, and Mapping using Posed RGB VideoCode1
RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object DetectionCode1
PVT: Point-Voxel Transformer for Point Cloud LearningCode1
Is Pseudo-Lidar needed for Monocular 3D Object detection?Code1
Progressive Coordinate Transforms for Monocular 3D Object DetectionCode1
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse WeatherCode1
Anchor-free 3D Single Stage Detector with Mask-Guided Attention for Point CloudCode1
From Voxel to Point: IoU-guided 3D Object Detection for Point Cloud with Voxel-to-Point DecoderCode1
Evaluating Adversarial Attacks on Driving Safety in Vision-Based Autonomous VehiclesCode1
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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