T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...

Abstract: In this article, a novel approximate hybrid multiplier design is proposed to reduce the data-path width of lifting 2-D discrete wavelet transform (DWT) especially for wireless visual sensor ...

Gray code is a systematic ordering of binary numbers in a way that each successive value differs from the previous one in ...

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.

Rockchip unveiled two RK182X LLM/VLM accelerators at its developer conference last July, namely the RK1820 with 2.5GB RAM for ...

在遥感图像分析领域，一项突破性研究为卫星和航拍图像的自动识别带来了全新思路。西安交通大学的研究团队与中科院合作，首次将最新发布的SAM 3模型应用于开放词汇语义分割任务，开发出名为SegEarth-OV3的创新系统。该系统能够通过文字描述识别任意地物类型，无需针对新类别重新训练模型，解决了传统方法在遥感图像分析中的核心难题。

西安交大的研究团队深入分析了这些挑战，发现问题的症结在于现有方法大多基于CLIP模型。CLIP原本是为整张图片的分类任务设计的，就像一个只会给照片贴标签的助手，当被强行用于像素级的精细分割时，往往力不从心，产生的边界模糊不清。为了弥补这个缺陷，许多研 ...

Once again, Las Vegas will host a sprawling sneak peek at the tech that will shape the industry throughout 2026. The Verge ...

编辑｜冷猫大部分的高质量视频生成模型，都只能生成上限约15秒的视频。清晰度提高之后，生成的视频时长还会再一次缩短。这就让尝试AI视频创意的创作者们非常苦恼了。要想实现创意，必须使用分段生成，结合首尾帧，不仅操作起来很麻烦，而且需要来回抽卡来保证画面的 ...

Multimodal large language models have shown powerful abilities to understand and reason across text and images, but their ...