The survey reviews spatial memory methods across 88 references, defines α as peak runtime memory over map size, profiles neural methods showing α from 2.3 to 215 on A100 GPU, and proposes a standardized evaluation protocol plus α-aware budgeting.
Is semantic slam ready for embedded systems? a comparative survey
2 Pith papers cite this work. Polarity classification is still indexing.
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TokenMask computes mask logits directly from query-token affinities in token space and interpolates in logit space rather than feature space, yielding efficiency gains for ViT segmentation.
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A Survey of Spatial Memory Representations for Efficient Robot Navigation
The survey reviews spatial memory methods across 88 references, defines α as peak runtime memory over map size, profiles neural methods showing α from 2.3 to 215 on A100 GPU, and proposes a standardized evaluation protocol plus α-aware budgeting.
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Token-Space Mask Prediction for Efficient Vision Transformer Segmentation
TokenMask computes mask logits directly from query-token affinities in token space and interpolates in logit space rather than feature space, yielding efficiency gains for ViT segmentation.