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 14311440 of 1576 papers

TitleStatusHype
AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene UnderstandingCode0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
QUEST: Query Stream for Practical Cooperative PerceptionCode0
Semi-supervised 3D Object Detection with PatchTeacher and PillarMixCode0
Gradient-based Maximally Interfered Retrieval for Domain Incremental 3D Object DetectionCode0
Semi-Supervised Domain Adaptation Using Target-Oriented Domain Augmentation for 3D Object DetectionCode0
Towards Fair and Comprehensive Comparisons for Image-Based 3D Object DetectionCode0
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D SensingCode0
FusionRCNN: LiDAR-Camera Fusion for Two-stage 3D Object DetectionCode0
Frustum ConvNet: Sliding Frustums to Aggregate Local Point-Wise Features for Amodal 3D Object DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified