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 5160 of 1576 papers

TitleStatusHype
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision TransformerCode2
Fully Test-Time Adaptation for Monocular 3D Object DetectionCode2
Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and BeyondCode2
ViewFormer: Exploring Spatiotemporal Modeling for Multi-View 3D Occupancy Perception via View-Guided TransformersCode2
Commonsense Prototype for Outdoor Unsupervised 3D Object DetectionCode2
Scaling Multi-Camera 3D Object Detection through Weak-to-Strong ElicitingCode2
MonoCD: Monocular 3D Object Detection with Complementary DepthsCode2
HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view CamerasCode2
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance FieldsCode2
SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large ObjectsCode2
Show:102550
← PrevPage 6 of 158Next →

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