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 1201–1250 of 1576 papers

TitleStatusHype
R2Det: Redemption from Range-view for Accurate 3D Object Detection—0
RefinedMPL: Refined Monocular PseudoLiDAR for 3D Object Detection in Autonomous Driving—0
Refining the ONCE Benchmark with Hyperparameter Tuning—0
Reflective Teacher: Semi-Supervised Multimodal 3D Object Detection in Bird's-Eye-View via Uncertainty Measure—0
Reinforced Axial Refinement Network for Monocular 3D Object Detection—0
Relation Graph Network for 3D Object Detection in Point Clouds—0
Reliability-Driven LiDAR-Camera Fusion for Robust 3D Object Detection—0
Representation Disparity-aware Distillation for 3D Object Detection—0
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes—0
Rethinking Dimensionality Reduction in Grid-based 3D Object Detection—0
Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar—0
Revisiting 3D Object Detection From an Egocentric Perspective—0
Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection—0
Revisiting Monocular 3D Object Detection from Scene-Level Depth Retargeting to Instance-Level Spatial Refinement—0
RIDE: Boosting 3D Object Detection for LiDAR Point Clouds via Rotation-Invariant Analysis—0
RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud—0
ROA-BEV: 2D Region-Oriented Attention for BEV-based 3D Object—0
Learning 2D to 3D Lifting for Object Detection in 3D for Autonomous Vehicles—0
Robo3D: Towards Robust and Reliable 3D Perception against Corruptions—0
RobuRCDet: Enhancing Robustness of Radar-Camera Fusion in Bird's Eye View for 3D Object Detection—0
Robust 3D Object Detection in Cold Weather Conditions—0
Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook—0
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape—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
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes—0
Self-supervised 3D Object Detection from Monocular Pseudo-LiDAR—0
Self-supervised cross-modality learning for uncertainty-aware object detection and recognition in applications which lack pre-labelled training data—0
Self-Supervised Pre-training with Combined Datasets for 3D Perception in Autonomous Driving—0
SemanticBEVFusion: Rethink LiDAR-Camera Fusion in Unified Bird's-Eye View Representation for 3D Object Detection—0
Semantics-aware LiDAR-Only Pseudo Point Cloud Generation for 3D Object Detection—0
Semantic-Supervised Spatial-Temporal Fusion for LiDAR-based 3D Object Detection—0
Semi-supervised 3D Object Detection via Adaptive Pseudo-Labeling—0
Semi-supervised 3D Object Detection via Temporal Graph Neural Networks—0
Semi-Supervised 3D Object Detection with Channel Augmentation using Transformation Equivariance—0
Semi-Supervised Stereo-Based 3D Object Detection via Cross-View Consensus—0
Sensor Adversarial Traits: Analyzing Robustness of 3D Object Detection Sensor Fusion Models—0
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation—0
Shape-Aware Monocular 3D Object Detection—0
Shape Prior Non-Uniform Sampling Guided Real-time Stereo 3D Object Detection—0
Shift R-CNN: Deep Monocular 3D Object Detection with Closed-Form Geometric Constraints—0
siaNMS: Non-Maximum Suppression with Siamese Networks for Multi-Camera 3D Object Detection—0
SimMining-3D: Altitude-Aware 3D Object Detection in Complex Mining Environments: A Novel Dataset and ROS-Based Automatic Annotation Pipeline—0
SimpleBEV: Improved LiDAR-Camera Fusion Architecture for 3D Object Detection—0
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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