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 1001–1025 of 1576 papers

TitleStatusHype
Robust 3D Object Detection in Cold Weather Conditions—0
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications—0
Towards Model Generalization for Monocular 3D Object Detection—0
PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D DetectionCode1
BEVerse: Unified Perception and Prediction in Birds-Eye-View for Vision-Centric Autonomous DrivingCode2
Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection—0
PillarNet: Real-Time and High-Performance Pillar-based 3D Object DetectionCode2
Exploring Diversity-based Active Learning for 3D Object Detection in Autonomous DrivingCode0
Multi-Class 3D Object Detection with Single-Class Supervision—0
Surface Representation for Point CloudsCode2
Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection—0
3D Object Detection with a Self-supervised Lidar Scene Flow BackboneCode1
Rotationally Equivariant 3D Object Detection—0
TJ4DRadSet: A 4D Radar Dataset for Autonomous DrivingCode2
Focal Sparse Convolutional Networks for 3D Object DetectionCode2
PolyLoss: A Polynomial Expansion Perspective of Classification Loss FunctionsCode1
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training—0
Graph-DETR3D: Rethinking Overlapping Regions for Multi-View 3D Object Detection—0
Spatiality-guided Transformer for 3D Dense Captioning on Point CloudsCode1
Multi-Camera Multiple 3D Object Tracking on the Move for Autonomous Vehicles—0
Multimodal Token Fusion for Vision TransformersCode1
Shape-Aware Monocular 3D Object Detection—0
OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR DataCode1
DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object DetectionCode2
HyperDet3D: Learning a Scene-conditioned 3D Object Detector—0
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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