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Developments
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2002 Realtime 3D object tracking under occlusion
HOOT: Heavy Occlusions in Object Tracking Benchmark
CountNet3D: A 3D Computer Vision Approach to Infer Counts of Occluded Objects
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets
3D Object Detection & Tracking - with occlusion handling - using a Stereo Camera Setup
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [BCNet - CVPR2021]
3D-Net: Monocular 3D object recognition for traffic monitoring
Deep learning for object tracking over occlusion break
3D Object Detection (6D Pose Estimation) without Training using FreeZe
Fragmented Occlusion in Computer Vision (OFAI Lecture by Roman Pflugfelder)
[PG2020] An Occlusion-aware Edge-Based Method for Monocular 3D Object Tracking using Edge Confidence
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Last Updated: August 17, 2026
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