VPD-100K is a large-scale fine-grained visual privacy dataset with 100k images and 33 classes, accompanied by a frequency-domain attention module that improves detection on image and video benchmarks.
Proceedings of the IEEE conference on computer vision and pattern recognition , pages=
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ERPPO adds a DSA-based ambiguity estimator to MAPPO and switches between L1 and L2 entropy regularization to improve exploration and stability in non-stationary multi-dimensional observations.
A drone-mounted stereo camera pipeline with YOLO segmentation, deep stereo depth, centroid triangulation, and MAD outlier rejection achieves robust 3D positioning of thin pine branches at 1-2 m distances.
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VPD-100K: Towards Generalizable and Fine-grained Visual Privacy Protection
VPD-100K is a large-scale fine-grained visual privacy dataset with 100k images and 33 classes, accompanied by a frequency-domain attention module that improves detection on image and video benchmarks.
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ERPPO: Entropy Regularization-based Proximal Policy Optimization
ERPPO adds a DSA-based ambiguity estimator to MAPPO and switches between L1 and L2 entropy regularization to improve exploration and stability in non-stationary multi-dimensional observations.
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Low-Cost Stereo Vision for Robust 3D Positioning of Thin Radiata Pine Branches in Autonomous Drone Pruning
A drone-mounted stereo camera pipeline with YOLO segmentation, deep stereo depth, centroid triangulation, and MAD outlier rejection achieves robust 3D positioning of thin pine branches at 1-2 m distances.