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 14011410 of 1576 papers

TitleStatusHype
SBNet: Sparse Blocks Network for Fast InferenceCode0
SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging EnvironmentsCode0
SAILOR: Scaling Anchors via Insights into Latent Object RepresentationCode0
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant FeaturesCode0
ScAR: Scaling Adversarial Robustness for LiDAR Object DetectionCode0
IDD-3D: Indian Driving Dataset for 3D Unstructured Road ScenesCode0
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning ModelsCode0
UrbanNet: Leveraging Urban Maps for Long Range 3D Object DetectionCode0
SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object DetectionCode0
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score FilteringCode0
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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