Cross-modal Memory Fusion Network for Multimodal Sequential Learning with Missing ValuesMulti-modal informationSequential learningMissing value imputationRecurrent neural networksInformation in many real-world applications is inherently multi-modal, sequential and characterized by a variety of missing values. ...
In this paper, we propose a cross-modal memory networks (CMN) to enhance the encoder-decoder framework for radiology report generation, where a shared memory is designed to record the alignment between images and texts so as to facilitate the interaction and generation across modalities. ...
These findings suggest that units in somatosensory cortex react to visual stimuli behaviorally associated with tactile information. Further, the results suggest that some of these neurons are involved in short-term active memory and may, therefore, be part of cross-modal memory networks. 展开 ...
Cross-modal memory networks for radiology report gener- ation. In Proceedings of the 59th Annual Meeting of the As- sociation for Computational Linguistics and the 11th Inter- national Joint Conference on Natural Language Processing (Volume 1: Long Papers)...
In this paper, we design a cross-modal attention fusion network with orthogonal latent memory (CALM) to fuse multi-modal social media data for rumor detection. Given multimodal content features extracted from text and images, we devise a cross-modal attention fusion (CAF) mechanism to extract cr...
Memory-retrieval processing of cross-modal sensory preconditioning is vital for understanding the plasticity underlying the interactions between modalities. As part of the sensory preconditioning paradigm, it has been hypothesized that the conditioned response to an unreinforced cue depends on the memory of...
transfer-learningcross-modalparameter-efficient-learningparameter-efficient-tuningmemory-efficient-tuningmemory-efficient-learningparameter-efficient-fine-tuning UpdatedOct 15, 2024 Python Official PyTorch implementation of our CVPR 2022 paper: Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual...
python reinforcement-learning recurrent-neural-networks neural-networks question-answering spiking-neural-networks one-shot-learning babi-tasks associations hebbian-learning memory-networks pythorch cross-modal-learning Updated Mar 28, 2023 Python codiceSpaghetti / T4SA-2.0 Star 4 Code Issues Pull ...
modal expansion allows multisensory experience to be efficiently retrieved by combined cues and by each individually. As a result, trained flies can evoke a memory of a visual experience with the learned odour, and memory of an odour with the learned colour. These findings provide a neural ...
几篇论文实现代码:《Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing》(ICLR 2024) GitHub: github.com/YangLing0818/ContextDiff [fig5] 《APISR: Anime Produc...