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Found 3 papers, 1 papers with code
Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following
However, as it is still in the early days of importing modular ideas to EIF, a search for modules effective in the EIF task is still far from a conclusion.
Weakly-Supervised Crack Detection
Because the proposed approach is data-driven, it is effective regardless of a dataset's pixel brightness profile.
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
Automatic crack detection is a critical task that has the potential to drastically reduce labor-intensive building and road inspections currently being done manually.
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