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 931–940 of 1576 papers

TitleStatusHype
CoFF: Cooperative Spatial Feature Fusion for 3D Object Detection on Autonomous Vehicles—0
Collaborative 3D Object Detection for Automatic Vehicle Systems via Learnable Communications—0
Collective Perception Datasets for Autonomous Driving: A Comprehensive Review—0
Comparative study of 3D object detection frameworks based on LiDAR data and sensor fusion techniques—0
Complete 3d relationships extraction modality alignment network for 3d dense captioning—0
Complexer-YOLO: Real-Time 3D Object Detection and Tracking on Semantic Point Clouds—0
Confidence Guided Stereo 3D Object Detection with Split Depth Estimation—0
Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection—0
Context-Aware Data Augmentation for LIDAR 3D Object Detection—0
ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions—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