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 12911300 of 1576 papers

TitleStatusHype
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object DetectionCode1
Cirrus: A Long-range Bi-pattern LiDAR Dataset0
It's All Around You: Range-Guided Cylindrical Network for 3D Object Detection0
CIA-SSD: Confident IoU-Aware Single-Stage Object Detector From Point CloudCode1
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans0
Curiosity-driven 3D Object Detection Without Labels0
Every View Counts: Cross-View Consistency in 3D Object Detection with Hybrid-Cylindrical-Spherical Voxelization0
Monocular 3D Object Detection with Sequential Feature Association and Depth Hint AugmentationCode1
cMinMax: A Fast Algorithm to Find the Corners of an N-dimensional Convex PolytopeCode0
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving0
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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