IEEE

GiVE: Guiding Visual Encoder to Perceive Overlooked Information

Abstract: Multimodal Large Language Models have advanced AI in applications like text-to-video generation and visual question answering. These models rely on visual encoders to convert non-text data ...
IEEE

Adaptive Encoder-Decoder Model Considering Spatio-Temporal Features for Short-Term Power Prediction of Distributed Photovoltaic Station

Abstract: Considering the impact of operation and maintenance costs and technology, there is generally a lack of sufficient meteorological observation devices within the distributed photovoltaic (PV) ...
GitHub

Encoder-minimal and Decoder-minimal Framework for Remote Sensing Image Dehazing

Abstract: Haze obscures remote sensing images, hindering valuable information extraction. To this end, we propose RSHazeNet, an encoder-minimal and decoder-minimal framework for efficient remote ...
GitHub

ApexToon - Token-Oriented Object Notation for Salesforce

ApexToon is a Salesforce Apex port of the JToon library, enabling bidirectional conversion between Apex objects/JSON and TOON (Token-Oriented Object Notation) format for efficient AI interactions.
marktechpost

Google Introduces T5Gemma 2: Encoder Decoder Models with Multimodal Inputs via SigLIP and 128K Context

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 ...