Occlusion Handling
16 papers with code • 0 benchmarks • 4 datasets
Benchmarks
These leaderboards are used to track progress in Occlusion Handling
Separated COCO
Occluded COCO
3D-POP
OCFR-LFW
Latest papers with no code
CMU-Flownet: Exploring Point Cloud Scene Flow Estimation in Occluded Scenario
Occlusions hinder point cloud frame alignment in LiDAR data, a challenge inadequately addressed by scene flow models tested mainly on occlusion-free datasets.
Fool the Hydra: Adversarial Attacks against Multi-view Object Detection Systems
Adversarial patches exemplify the tangible manifestation of the threat posed by adversarial attacks on Machine Learning (ML) models in real-world scenarios.
RSB-Pose: Robust Short-Baseline Binocular 3D Human Pose Estimation with Occlusion Handling
This perception is injected by the Pose Transformer network and learned through a pre-training task that recovers iterative masked joints.
Occlusion-Aware 2D and 3D Centerline Detection for Urban Driving via Automatic Label Generation
This research work seeks to explore and identify strategies that can determine road topology information in 2D and 3D under highly dynamic urban driving scenarios.
LInKs "Lifting Independent Keypoints" -- Partial Pose Lifting for Occlusion Handling with Improved Accuracy in 2D-3D Human Pose Estimation
Furthermore, our method excels in accurately retrieving complete 3D poses even in the presence of occlusions, making it highly applicable in situations where complete 2D pose information is unavailable.
Checklist to Transparently Define Test Oracles for TP, FP, and FN Objects in Automated Driving
Popular test oracles for the perception subsystem of driving automation systems identify true-positive (TP), false-positive (FP), and false-negative (FN) objects.
Challenges for Monocular 6D Object Pose Estimation in Robotics
Object pose estimation is a core perception task that enables, for example, object grasping and scene understanding.
Occlusion Robust 3D Human Pose Estimation with StridedPoseGraphFormer and Data Augmentation
We show that our proposed method compares favorably with the state-of-the-art (SoA).
Real-time Multi-Object Tracking Based on Bi-directional Matching
For example, when most part of a target is occluded or the target just disappears from images temporarily, it often leads to tracking interruptions for most of the existing tracking algorithms.
Open Challenges for Monocular Single-shot 6D Object Pose Estimation
Object pose estimation is a non-trivial task that enables robotic manipulation, bin picking, augmented reality, and scene understanding, to name a few use cases.
