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
Most implemented papers
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.
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.
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.
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.
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.
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.
