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 621–630 of 1576 papers

TitleStatusHype
Large receptive field strategy and important feature extraction strategy in 3D object detection—0
Exploring 2D Data Augmentation for 3D Monocular Object Detection—0
A Review of 3D Object Detection with Vision-Language Models—0
Class-Aware PillarMix: Can Mixed Sample Data Augmentation Enhance 3D Object Detection with Radar Point Clouds?—0
Exploiting Playbacks in Unsupervised Domain Adaptation for 3D Object Detection—0
3M3D: Multi-view, Multi-path, Multi-representation for 3D Object Detection—0
Weakly Supervised 3D Object Detection with Multi-Stage Generalization—0
Explicit3D: Graph Network with Spatial Inference for Single Image 3D Object Detection—0
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data—0
Explainable Multi-Camera 3D Object Detection with Transformer-Based Saliency Maps—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