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

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Showing 1301–1310 of 1576 papers

TitleStatusHype
TANet++: Triple Attention Network with Filtered Pointcloud on 3D Detection—0
Task-Oriented Semantic Communication for Stereo-Vision 3D Object Detection—0
Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds—0
TempBEV: Improving Learned BEV Encoders with Combined Image and BEV Space Temporal Aggregation—0
Temporal-Channel Transformer for 3D Lidar-Based Video Object Detection in Autonomous Driving—0
The Devil is in the Details: Simple Remedies for Image-to-LiDAR Representation Learning—0
The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection—0
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes—0
The Meeseeks Mesh: Spatially Consistent 3D Adversarial Objects for BEV Detector—0
ThermRad: A Multi-modal Dataset for Robust 3D Object Detection under Challenging Conditions—0
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Benchmark Results

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