Abstract: Traffic flow prediction is critical for Intelligent Transportation Systems to alleviate congestion and optimize traffic management. The existing basic Encoder-Decoder Transformer model for ...
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Abstract: In unsupervised medical image registration, encoder-decoder architectures are widely used to predict dense, full-resolution displacement fields from paired images. Despite their popularity, ...
Hosted on MSN
How to decode your dog's yawn | Pet Project
When it comes to dogs, a yawn doesn't always mean they're sleepy. Pennsylvania SPCA animal advocate Carol Erickson explains what else your dog could be trying to tell you when they let out a yawn.
Alfatron Electronics, the Raleigh, N.C.-based, manufacturer, has introduced the ALF-IPK1HE 4K Networked Encoder and ALF-IPK1HD 4K Networked Decoder, designed for distributing high-quality AV signals ...
In the current multi-modality support within vLLM, the vision encoder (e.g., Qwen_vl) and the language model decoder run within the same worker process. While this tightly coupled architecture is ...
Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are a widely-used example of such models. These systems employ an encoder-decoder ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results