3D Object Detection

591 papers with code • 55 benchmarks • 48 datasets

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 )

Libraries

Use these libraries to find 3D Object Detection models and implementations

Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection

fnozarian/ReliableStudent IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2023

Semi-supervised 3D object detection can benefit from the promising pseudo-labeling technique when labeled data is limited.

6
27 Apr 2024

Commonsense Prototype for Outdoor Unsupervised 3D Object Detection

hailanyi/cpd 25 Apr 2024

The prevalent approaches of unsupervised 3D object detection follow cluster-based pseudo-label generation and iterative self-training processes.

13
25 Apr 2024

Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection

uulm-mrm/mmood3d 24 Apr 2024

LiDAR-based 3D object detection has become an essential part of automated driving due to its ability to localize and classify objects precisely in 3D.

1
24 Apr 2024

Scaling Multi-Camera 3D Object Detection through Weak-to-Strong Eliciting

faceonlive/ai-research 10 Apr 2024

Finally, for MC3D-Det joint training, the elaborate dataset merge strategy is designed to solve the problem of inconsistent camera numbers and camera parameters.

208
10 Apr 2024

Better Monocular 3D Detectors with LiDAR from the Past

faceonlive/ai-research 8 Apr 2024

Accurate 3D object detection is crucial to autonomous driving.

208
08 Apr 2024

MonoCD: Monocular 3D Object Detection with Complementary Depths

elvintanhust/monocd 4 Apr 2024

Monocular 3D object detection has attracted widespread attention due to its potential to accurately obtain object 3D localization from a single image at a low cost.

12
04 Apr 2024

HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras

vdigpku/henet 3 Apr 2024

Three-dimensional perception from multi-view cameras is a crucial component in autonomous driving systems, which involves multiple tasks like 3D object detection and bird's-eye-view (BEV) semantic segmentation.

19
03 Apr 2024

Weak-to-Strong 3D Object Detection with X-Ray Distillation

sakharok13/x-ray-teacher-patching-tools 31 Mar 2024

This paper addresses the critical challenges of sparsity and occlusion in LiDAR-based 3D object detection.

3
31 Mar 2024

SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects

abhi1kumar/seabird 29 Mar 2024

We argue that the cause of failure is the sensitivity of depth regression losses to noise of larger objects.

42
29 Mar 2024

VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection

skmhrk1209/VSRD 29 Mar 2024

In the auto-labeling stage, we represent the surface of each instance as a signed distance field (SDF) and render its silhouette as an instance mask through our proposed instance-aware volumetric silhouette rendering.

21
29 Mar 2024