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 781–790 of 1576 papers

TitleStatusHype
LAM3D: Leveraging Attention for Monocular 3D Object Detection—0
Effect of Fog Particle Size Distribution on 3D Object Detection Under Adverse Weather Conditions—0
Complete 3d relationships extraction modality alignment network for 3d dense captioning—0
Diff3DETR:Agent-based Diffusion Model for Semi-supervised 3D Object Detection—0
MonoMM: A Multi-scale Mamba-Enhanced Network for Real-time Monocular 3D Object Detection—0
DVPE: Divided View Position Embedding for Multi-View 3D Object DetectionCode0
Explore the LiDAR-Camera Dynamic Adjustment Fusion for 3D Object DetectionCode0
RayFormer: Improving Query-Based Multi-Camera 3D Object Detection via Ray-Centric Strategies—0
ParCon: Noise-Robust Collaborative Perception via Multi-module Parallel Connection—0
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape DataCode0
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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