Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang, Tat-Seng Chua, Lu Jiang In-context image editing aims to modify images based on a contextual sequence ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
🌐 Ming-UniVision is a groundbreaking multimodal large language model (MLLM) that unifies vision understanding, generation, and editing within a single autoregressive next-token prediction (NTP) ...
Abstract: Hyperspectral image classification methods based on subgraph neural networks (SGNNs) are rarely explored, and its advantage is that it can alleviate the neighbor explosion problem. After ...
Abstract: We propose a low-shot image classification method called Limo, which can train an accurate image classification model under conditions of acute data scarcity. Limo uniquely assembles ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results