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 671680 of 1576 papers

TitleStatusHype
Detect Closer Surfaces that can be Seen: New Modeling and Evaluation in Cross-domain 3D Object DetectionCode0
Pre-Training LiDAR-Based 3D Object Detectors Through ColorizationCode0
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object DetectionCode0
Aerial Monocular 3D Object DetectionCode0
DenseFusion: 6D Object Pose Estimation by Iterative Dense FusionCode0
Pragmatic Communication in Multi-Agent Collaborative PerceptionCode0
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point CloudCode0
Point-Voxel CNN for Efficient 3D Deep LearningCode0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio MaskingCode0
Show:102550
← PrevPage 68 of 158Next →

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