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 681690 of 1576 papers

TitleStatusHype
Point-Voxel CNN for Efficient 3D Deep LearningCode0
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point CloudCode0
Joint 3D Proposal Generation and Object Detection from View AggregationCode0
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio MaskingCode0
PointFusion: Deep Sensor Fusion for 3D Bounding Box EstimationCode0
DeepCompress: Efficient Point Cloud Geometry CompressionCode0
IoU Loss for 2D/3D Object DetectionCode0
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object DetectionCode0
3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X OrchestrationCode0
ImVoxelNet: Image to Voxels Projection for Monocular and Multi-View General-Purpose 3D Object DetectionCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1EA-LSSNDS0.78Unverified
2MegFusionNDS0.77Unverified
3MMFusion-eNDS0.77Unverified
4BEVFusion-eNDS0.76Unverified
5RacoonPowerNDS0.76Unverified
6DeepInteraction-largeNDS0.76Unverified
7DeepInteraction-eNDS0.76Unverified
8FusionVPENDS0.75Unverified
9FocalFormer3D-FNDS0.75Unverified
10CenterPoint-FusionNDS0.75Unverified