A cue-aware monocular depth estimation architecture that fuses frozen specialist networks via a cortical-style hierarchy and key-value memory, with no experimental results provided yet.
Wheeler Languages
1 Pith paper cite this work. Polarity classification is still indexing.
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Pith paper citing it
abstract
The recently introduced class of Wheeler graphs, inspired by the Burrows-Wheeler Transform (BWT) of a given string, admits an efficient index data structure for searching for subpaths with a given path label, and lifts the applicability of the Burrows-Wheeler transform from strings to languages. In this paper we study the regular languages accepted by automata having a Wheeler graph as transition function, and prove results on determination, Myhill_Nerode characterization, decidability, and closure properties for this class of languages.
fields
cs.CV 1years
2025 1verdicts
REJECT 1representative citing papers
citing papers explorer
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THIRDEYE: Cue-Aware Monocular Depth Estimation via Brain-Inspired Multi-Stage Fusion
A cue-aware monocular depth estimation architecture that fuses frozen specialist networks via a cortical-style hierarchy and key-value memory, with no experimental results provided yet.