We present preparation of Ge nanostructures formed using by femtosecond laser pulse and origin of visible photoluminescence (PL) properties. High intensity of incident laser energy gives rise to make oxidized layer to surface of Ge nanoparticle after irradiation. Moreover, size dependent Raman shift and PL spectrums are observed with different fluences and various process surroundings. It is noted that the oxidation of Ge nanoparticle formed ambient surroundings plays an important role of photoluminescence.

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With the publication of DINO, a variant of the Detection Transformer (DETR), Detection Transformers are breaking the record in the object detection benchmark with the merits of their end-to-end design and scalability. However, the extension of DETR to oriented object detection has not been thoroughly studied although more benefits from its end-to-end architecture are expected such as removing NMS and anchor-related costs. In this paper, we propose a first strong DINO-based baseline for oriented object detection. We found that straightforward employment of DETRs for oriented object detection does not guarantee non-duplicate prediction, and propose a simple cost to mitigate this. Furthermore, we introduce a dynamic denoising strategy that uses Hungarian matching to filter redundant noised queries and query alignment to preserve matching consistency between Transformer decoder layers. Our proposed model outperforms previous rotated DETRs and other counterparts, achieving state-of-the-art performance in DOTA-v1.0/v1.5/v2.0, and DIOR-R benchmarks.

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