LEASH: Stay Safe in Agentic Robotics
Paper • 2611.14115 • Published • 5
Qinfeng Zhu
zhuqinfeng
AI & ML interests
Visiting Duke Kunshan Univ | PhD candidate UoL in AI | Robotics | Seeking Postdoc 27'
Feel free to connect: zhuqinfeng1999@gmail.com
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upvoted a paper about 11 hours ago
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Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside WasteOrganizations
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Enhancing Environmental Monitoring through Multispectral Imaging: The WasteMS Dataset for Semantic Segmentation of Lakeside Waste
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Evaluating the Impact of Point Cloud Colorization on Semantic Segmentation Accuracy
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MSCrackMamba: Leveraging Vision Mamba for Crack Detection in Fused Multispectral Imagery
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SwinMamba: A hybrid local-global mamba framework for enhancing semantic segmentation of remotely sensed images
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ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagery
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A generalised pre-training strategy for deep learning networks in semantic segmentation of remotely sensed images
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SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction
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Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling
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From Landslide Conditioning Factors to Satellite Embeddings: Evaluating the Utilisation of Google AlphaEarth for Landslide Susceptibility Mapping using Deep Learning
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Rethinking Scanning Strategies with Vision Mamba in Semantic Segmentation of Remote Sensing Imagery: An Experimental Study
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Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey
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LEASH: Stay Safe in Agentic Robotics
Paper • 2611.14115 • Published • 5
Samba: Semantic Segmentation of Remotely Sensed Images with State Space Model
Paper • 2404.01705 • Published
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