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 251–275 of 1576 papers

TitleStatusHype
LION: Linear Group RNN for 3D Object Detection in Point CloudsCode3
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels OnlyCode1
DVPE: Divided View Position Embedding for Multi-View 3D Object DetectionCode0
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object DetectionCode2
What Matters in Range View 3D Object DetectionCode1
Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object DetectionCode0
Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object DetectionCode1
RayFormer: Improving Query-Based Multi-Camera 3D Object Detection via Ray-Centric Strategies—0
General Geometry-aware Weakly Supervised 3D Object DetectionCode1
ParCon: Noise-Robust Collaborative Perception via Multi-module Parallel Connection—0
RepVF: A Unified Vector Fields Representation for Multi-task 3D PerceptionCode1
OPEN: Object-wise Position Embedding for Multi-view 3D Object DetectionCode2
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object DetectionCode1
LabelDistill: Label-guided Cross-modal Knowledge Distillation for Camera-based 3D Object DetectionCode1
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape DataCode0
When Pedestrian Detection Meets Multi-Modal Learning: Generalist Model and Benchmark DatasetCode2
Semi-supervised 3D Object Detection with PatchTeacher and PillarMixCode0
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D SceneCode1
FYI: Flip Your Images for Dataset Distillation—0
Exploring Camera Encoder Designs for Autonomous Driving Perception—0
Boosting 3D Object Detection with Semantic-Aware Multi-Branch Framework—0
Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image—0
Towards Stable 3D Object Detection—0
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object DetectionCode0
DM3D: Distortion-Minimized Weight Pruning for Lossless 3D Object Detection—0
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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