Abstract: Video depth estimation has a wide range of applications, especially in the tasks of robot navigation and autonomous driving. RNN-based encoder-decoder architectures are the most commonly ...

RWKV: Parallelizable RNN with Transformer-level LLM Performance (pronounced as "RwaKuv", from 4 major params: R W K V) RWKV is an RNN with Transformer-level LLM performance, which can also be directly ...

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I've been transcoding videos on handbrake using AV1 which I think is the latest encoder. AV1 on the Mac is often incredibly efficient. I'm talking 3gb -> 300mb efficient. Even tougher material with ...

Beyond tumor-shed markers: AI driven tumor-educated polymorphonuclear granulocytes monitoring for multi-cancer early detection. Clinical outcomes of a prospective multicenter study evaluating a ...

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...

Abstract: We aim to provide a thorough comparison of different vision-language models for the picture captioning task, on several datasets, such as COCO, Flickr8k, and MS COCO. In particular, we ...

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Open Broadcast Systems, a specialist in software-based low-latency video encoding and decoding, has announced that Mobile TV Group has selected its encoders and decoders for low-latency video ...