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 501–525 of 1576 papers

TitleStatusHype
CLOCs: Camera-LiDAR Object Candidates Fusion for 3D Object DetectionCode1
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured AttentionCode1
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited AnnotationsCode1
Homography Loss for Monocular 3D Object DetectionCode1
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded ScenesCode1
Far3D: Expanding the Horizon for Surround-view 3D Object DetectionCode1
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using FusionCode1
FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object DetectionCode1
Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object DetectionCode1
FastPillars: A Deployment-friendly Pillar-based 3D DetectorCode1
Co-Fix3D: Enhancing 3D Object Detection with Collaborative RefinementCode1
Accurate 3D Object Detection using Energy-Based ModelsCode1
HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object DetectionCode1
HoughNet: Integrating near and long-range evidence for visual detectionCode1
CoDiff: Conditional Diffusion Model for Collaborative 3D Object DetectionCode1
High-level camera-LiDAR fusion for 3D object detection with machine learningCode1
HEDNet: A Hierarchical Encoder-Decoder Network for 3D Object Detection in Point CloudsCode1
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D PerceptionCode1
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object DetectionCode1
CoCoNets: Continuous Contrastive 3D Scene RepresentationsCode1
Fine-Grained Pillar Feature Encoding Via Spatio-Temporal Virtual Grid for 3D Object DetectionCode1
A Simple Baseline for Multi-Camera 3D Object DetectionCode1
GUPNet++: Geometry Uncertainty Propagation Network for Monocular 3D Object DetectionCode1
Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban EnvironmentsCode1
Finding Your (3D) Center: 3D Object Detection Using a Learned LossCode1
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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
2MegFusionNDS0.77—Unverified
3MMFusion-eNDS0.77—Unverified
4BEVFusion-eNDS0.76—Unverified
5RacoonPowerNDS0.76—Unverified
6DeepInteraction-largeNDS0.76—Unverified
7DeepInteraction-eNDS0.76—Unverified
8FusionVPENDS0.75—Unverified
9FocalFormer3D-FNDS0.75—Unverified
10CenterPoint-FusionNDS0.75—Unverified