Systems and techniques are provided for performing object detection using a machine learning model with a transformer architecture. An example method can include receiving a plurality of tokens corresponding to segmented sensor data; identifying, by a halting module within the machine learning model, at least one halted token from the plurality of tokens, wherein the at least one halted token is excluded from a plurality of non-halted tokens provided as input to a subsequent layer during inference of the machine learning model; and detecting, by the machine learning model, at least one detected object based at least on the plurality of non-halted tokens.
TRANSFORMER ARCHITECTURE THAT DYNAMICALLY HALTS TOKENS AT INFERENCE
09.05.2024
Patent
Elektronische Ressource
Englisch
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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