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

Showing 731740 of 1576 papers

TitleStatusHype
Augment and Criticize: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection0
Vehicle-Infrastructure Cooperative 3D Object Detection via Feature Flow PredictionCode1
CAPE: Camera View Position Embedding for Multi-View 3D Object DetectionCode1
GOOD: General Optimization-based Fusion for 3D Object Detection via LiDAR-Camera Object Candidates0
A Simple Framework for 3D Occupancy Estimation in Autonomous DrivingCode2
Among Us: Adversarially Robust Collaborative Perception by ConsensusCode1
SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous DrivingCode3
MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud SequencesCode1
Weakly Supervised Monocular 3D Object Detection using Multi-View Projection and Direction ConsistencyCode0
DiffBEV: Conditional Diffusion Model for Bird's Eye View PerceptionCode2
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MMFusion-eNDS0.77Unverified
3MegFusionNDS0.77Unverified
4RacoonPowerNDS0.76Unverified
5BEVFusion-eNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8DAANDS0.75Unverified
9FusionVPENDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified