Controlled tests on LoveDA and ISPRS Potsdam show visual SSM encoders deliver favorable speed-accuracy trade-offs but suffer most from boundary errors under domain shift, indicating that robustness and boundary-aware decoding will matter more than intra-family encoder scaling.
Decoupled weight decay regular- ization
2 Pith papers cite this work. Polarity classification is still indexing.
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SpaceDex achieves 63% success grasping unseen objects in tiered workspaces via VLM spatial planning and arm-hand feature separation, beating a 39% tabletop baseline in 100 real trials.
citing papers explorer
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A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation
Controlled tests on LoveDA and ISPRS Potsdam show visual SSM encoders deliver favorable speed-accuracy trade-offs but suffer most from boundary errors under domain shift, indicating that robustness and boundary-aware decoding will matter more than intra-family encoder scaling.
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SpaceDex: Generalizable Dexterous Grasping in Tiered Workspaces
SpaceDex achieves 63% success grasping unseen objects in tiered workspaces via VLM spatial planning and arm-hand feature separation, beating a 39% tabletop baseline in 100 real trials.