A Comprehensive Survey of Large Language Models and Multimodal Large Language Models in Medicine

no code implementations • 14 May 2024 • Hanguang Xiao, Feizhong Zhou, Xingyue Liu, Tianqi Liu, Zhipeng Li, Xin Liu, Xiaoxuan Huang

Since the release of ChatGPT and GPT-4, large language models (LLMs) and multimodal large language models (MLLMs) have garnered significant attention due to their powerful and general capabilities in understanding, reasoning, and generation, thereby offering new paradigms for the integration of artificial intelligence with medicine.

Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification

no code implementations • 12 Oct 2023 • Xingyue Liu, Jiahao Qi, Chen Chen, Kangcheng Bin, Ping Zhong

Moreover, to meet cross-modality discrepancy and orientation discrepancy challenges, we present a hybrid weights decoupling network (HWDNet) to learn the shared discriminative orientation-invariant features.

Vehicle Re-Identification

Masked Spatial-Spectral Autoencoders Are Excellent Hyperspectral Defenders

no code implementations • 16 Jul 2022 • Jiahao Qi, Zhiqiang Gong, Xingyue Liu, Kangcheng Bin, Chen Chen, YongQian Li, Wei Xue, Yu Zhang, Ping Zhong

Deep learning methodology contributes a lot to the development of hyperspectral image (HSI) analysis community.

Adversarial Defense Learning Theory +1