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1. allainews.com › item › multi-view-spectrogram-transformer-forMulti-View Spectrogram Transformer for Respiratory Sound...

   allainews.com › item › multi-view-spectrogram-transformer-for

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   Vor 9 Stunden · In this paper, a Multi-View Spectrogram Transformer (MVST) is proposed to embed different views of time-frequency characteristics into the vision transformer. Specifically, the proposed MVST splits the mel-spectrogram into different sized patches, representing the multi-view acoustic elements of a respiratory sound.

2. allainews.com › item › mds-vitnet-improving-saliencyMDS-ViTNet: Improving saliency prediction for Eye-Tracking with...

   allainews.com › item › mds-vitnet-improving-saliency

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   Vor 9 Stunden · arXiv:2405.19501v1 Announce Type: new. Abstract: In this paper, we present a novel methodology we call MDS-ViTNet (Multi Decoder Saliency by Vision Transformer Network) for enhancing visual saliency prediction or eye-tracking. This approach holds significant potential for diverse fields, including marketing, medicine, robotics, and retail.

3. www.mitihoon.com › 2024/05/31 › 461870BBGI, in collaboration with SCGC and QTC, announces successful...

   www.mitihoon.com › 2024/05/31 › 461870

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   Vor 9 Stunden · Currently, transformer manufacturers must import 100% of their bio-transformer oil from abroad for use. Mr. Kittiphong Limsuwannarot, Chief executive Officer of BBGI Pcl. or BBGI, discussed the success of the Bio Transformer Oil project, a collaboration between BBGI Biodiesel Co., Ltd. (BBGI BI), SCG Chemicals Pcl. (SCGC), and QTC Energy Pcl ...

4. allainews.com › item › sharing-key-semantics-in-transformerSharing Key Semantics in Transformer Makes Efficient Image...

   allainews.com › item › sharing-key-semantics-in-transformer

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   Vor 9 Stunden · Sharing Key Semantics in Transformer Makes Efficient Image Restoration. Abstract: Image Restoration (IR), a classic low-level vision task, has witnessed significant advancements through deep models that effectively model global information. Notably, the Vision Transformers (ViTs) emergence has further propelled these advancements.