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 711720 of 1576 papers

TitleStatusHype
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
Paint and Distill: Boosting 3D Object Detection with Semantic Passing NetworkCode0
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point CloudsCode0
QUEST: Query Stream for Practical Cooperative PerceptionCode0
HyperMODEST: Self-Supervised 3D Object Detection with Confidence Score FilteringCode0
CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box PredictionCode0
3D Object Detection From LiDAR Data Using Distance Dependent Feature ExtractionCode0
OKGR: Occluded Keypoint Generation and Refinement for 3D Object DetectionCode0
HV-BEV: Decoupling Horizontal and Vertical Feature Sampling for Multi-View 3D Object DetectionCode0
CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise TransformerCode0
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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