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
BoPR: Body-aware Part Regressor for Human Shape and Pose Estimation
This paper presents a novel approach for estimating human body shape and pose from monocular images that effectively addresses the challenges of occlusions and depth ambiguity.
Transformer-based assignment decision network for multiple object tracking
Data association is a crucial component for any multiple object tracking (MOT) method that follows the tracking-by-detection paradigm.
Real3D-Aug: Point Cloud Augmentation by Placing Real Objects with Occlusion Handling for 3D Detection and Segmentation
Object detection and semantic segmentation with the 3D lidar point cloud data require expensive annotation.
Quantification of Occlusion Handling Capability of a 3D Human Pose Estimation Framework
MehwishG/T3D-CNN
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Our experiments demonstrate the effectiveness of the proposed framework for handling the missing joints as well as quantification of the occlusion handling capability of the deep neural networks.
WALT: Watch and Learn 2D Amodal Representation From Time-Lapse Imagery
dineshreddy91/WALT
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CVPR 2022
Labeled real data of occlusions is scarce (even in large datasets) and synthetic data leaves a domain gap, making it hard to explicitly model and learn occlusions.
Level Set Binocular Stereo with Occlusions
Localizing stereo boundaries and predicting nearby disparities are difficult because stereo boundaries induce occluded regions where matching cues are absent.
TSDF++: A Multi-Object Formulation for Dynamic Object Tracking and Reconstruction
The ability to simultaneously track and reconstruct multiple objects moving in the scene is of the utmost importance for robotic tasks such as autonomous navigation and interaction.
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
lkeab/BCNet
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CVPR 2021
Segmenting highly-overlapping objects is challenging, because typically no distinction is made between real object contours and occlusion boundaries.
Simple online and real-time tracking with occlusion handling
In contrast, there are algorithms that only use motion cues to increase speed, especially for online applications.
Symmetric Parallax Attention for Stereo Image Super-Resolution
Although recent years have witnessed the great advances in stereo image super-resolution (SR), the beneficial information provided by binocular systems has not been fully used.
