Multimodal image feature matching is a critical technique in computer vision. However, many current methods rely on extensive attention interactions, which can lead to the inclusion of irrelevant information fro
Therefore, to address this problem, we proposes a method named multimodal sentiment analysis based on multiple attention(MAMSA). Firstly, this method utilized the adaptive attention interaction module to dynamically determine the amount of information contributed by text and image features in multimodal ...
Visual Question Answering (VQA) is a rapidly advancing field that aims to develop systems capable of answering questions based on image content. Performance of a VQA model largely depends on the effective integration of multimodal data. A sparsity-based Bidirectional Cascaded Multimodal Attention network...
A Hunger Games Search algorithm with opposition-based learning for solving multimodal medical image registration 2023, Neurocomputing Citation Excerpt : However, they are sensitive to intensity variations and noise, which can cause incorrect registrations. The field of image registration has witnessed rapid...
attentionmultimodalityattention-is-all-you-needmultimodal-learningmultimodalimagegenerationdalle UpdatedDec 15, 2023 Python Implementation of the ScreenAI model from the paper: "A Vision-Language Model for UI and Infographics Understanding" machine-learningaitensorflowmlpytorchartificial-intelligenceattentionattent...
Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering Factor Graph Attention Attention-Based Dropout Layer for Weakly Supervised Object Localization Progressive Pose Attention Transfer for Person Image Generation Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance fo...
However, for multimodal VLT like VQA and VG, which demand high-dependency modeling and heterogeneous modality comprehension, solving the issues of introducing noise, insufficient information interaction, and obtaining more refined visual features during the image self-interaction of conventional Transformers ...
【论文阅读】【CVPR2017】Dual Attention Networks for Multimodal Reasoning and Matching Abstract 我们提出双重注意网络模型(DANs)利用视觉和文字共同注意机制捕捉视觉和语言之间的细微互动。 DANs关注图像和文字的特定区域文本信息,这些文本信息是通过多个步骤收集来自两种模式的重要信息。 基于这个框架,我们引入两种类型的DA...
SERVER: Multi-modal Speech Emotion Recognition using Transformer-based and Vision-based Embeddings text-embeddinggpu-supportspeech-emotion-recognitionattention-lstmaudio-embeddingvggishmultimodal-emotion-recognition UpdatedJan 23, 2024 Jupyter Notebook
His research interest is cross-media retrieval and image synthesis/translation, including sketch-based image retrieval, multi-view/multimodal correlation learning, and sketch synthesis. Yuejie Zhang received the B.S. degree in Computer Software, the M.S. degree in Computer Application, and the Ph....