Multimodal entity linking (MEL) is an emerging research field which uses both textual and visual information to map an ambiguous mention to an entity in a knowledge base (KB). However, images do not always help, which may also backfire if they are irrelevant to the textual content at all....
attentiontext-to-imagemultimodalweakly-supervised-segmentation UpdatedSep 4, 2024 Python Implementation of Transformer:"Attention Is All You Need" in Pytorch from scratch. Train and tested on a dummy dataset. transformerattentionpytorch-transformertransformer-from-scratch ...
Based on this framework, we introduce two types of DANs for multimodal reasoning and matching, respectively. The reasoning model allows visual and textual attentions to steer each other during collaborative inference, which is useful for tasks such as Visual Question Answering (VQA). In addition, ...
1, 3D object detection can be divided into three branches based on the different types of input data: the image branch, point cloud branch, and fusion branch. Traditional models take point clouds as input and utilize the spatial information of point clouds to generate 3D detection results. In...
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
MuAt is able to integrate single-nucleotide and multi-nucleotide substitutions (SNVs/MNVs), short insertions and deletions (indels), structural variant (SV) breakpoints, and combinations of these primary genetic alterations by learning multimodal data embeddings [35,36,37]. These embeddings integrate...
Further, in AI-based decision-making systems, multiple modalities can improve predictive perfor- mance [23, 18, 5]. In a multimodal learning problem setting, a network with each modality as input is prepared. A learner that con- nects the final layers of each...
A mutual attention based multimodal fusion for fake news detection on social network As the advance of social networks, the emergency of fake news has been the major threat for information security, privacy, and trustworthiness. The fake ne... Y Guo - Applied Intelligence: The International Journ...
However, as the resolution of point clouds increases, the computational resources required by these methods also surge dramatically. With the introduction of PointNet [1] and PointNet++ [2], directly processing three-dimensional coordinates has become the mainstream method for point cloud-based three-...
The distribution is clearly multimodal (Hartigan’s dip test, p < 0.001). (D) In the principal component (PC) space of spike shape, single units were colored either based on their spike width classifications (open circles; Narrow, Medium, Broad) or by running the k-means clustering ...