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 381390 of 1576 papers

TitleStatusHype
DID-M3D: Decoupling Instance Depth for Monocular 3D Object DetectionCode1
Homography Loss for Monocular 3D Object DetectionCode1
Exploring Active 3D Object Detection from a Generalization PerspectiveCode1
MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object DetectionCode1
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and LocalizationCode1
End-to-End Pseudo-LiDAR for Image-Based 3D Object DetectionCode1
CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object DetectionCode1
Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object DetectionCode1
Improving 3D Object Detection with Channel-wise TransformerCode1
Enhancing 3D Object Detection with 2D Detection-Guided Query AnchorsCode1
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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