Abstract: Few-shot class-incremental learning (FSCIL) presents a significant challenge in machine learning, requiring models to integrate new classes from limited examples while preserving performance ...
a python‑based ai system stability and evaluation framework integrating neural models, semantic analysis, statistical evaluation, hyperparameter optimization, and robustness testing to ensure ...
Semantic Kernel is a model-agnostic SDK that empowers developers to build, orchestrate, and deploy AI agents and multi-agent systems. Whether you're building a simple chatbot or a complex multi-agent ...
Abstract: The primary challenges in image-level weakly supervised semantic segmentation (WSSS) lie in addressing the under-activation issue of target pixels and mitigating the co-occurrence phenomenon ...
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