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 691700 of 1576 papers

TitleStatusHype
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point CloudCode0
Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object DetectionCode0
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point CloudsCode0
Improving Generalization Ability for 3D Object Detection by Learning Sparsity-invariant FeaturesCode0
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous DrivingCode0
3D Object Detection from Point Cloud via Voting Step DiffusionCode0
Three-dimensional Backbone Network for 3D Object Detection in Traffic ScenesCode0
BB8: A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using DepthCode0
Orthographic Feature Transform for Monocular 3D Object DetectionCode0
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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