Recursive Agents implements a three-phase iterative refinement architecture where LLM agents (instances of Classes) critique and improve their own outputs. Unlike single-pass systems, each agent ...

Abstract: Aiming at the shortcomings of traditional convolutional neural network methods in capturing long-range spatial dependencies in fine-grained image recognition due to the restricted sensory ...

Abstract: This paper introduces an adaptive optimal iterative image restoration algorithm designed for strong backlight conditions to enhance denoising performance, optimize the determination of ...

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