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Found 12 papers, 3 papers with code
Multistage Fusion with Forget Gate for Multimodal Summarization in Open-Domain Videos
Multimodal summarization for open-domain videos is an emerging task, aiming to generate a summary from multisource information (video, audio, transcript).
TOT: Topology-Aware Optimal Transport For Multimodal Hate Detection
Multimodal hate detection, which aims to identify harmful content online such as memes, is crucial for building a wholesome internet environment.
HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction
Link Prediction, addressing the issue of completing KGs with missing facts, has been broadly studied.
High Quality Remote Sensing Image Super-Resolution Using Deep Memory Connected Network
Single image super-resolution is an effective way to enhance the spatial resolution of remote sensing image, which is crucial for many applications such as target detection and image classification.
Where is the Model Looking At?--Concentrate and Explain the Network Attention
We generate attribute-based textual explanations for the network and ground the attributes on the image to show visual explanations.
SRQA: Synthetic Reader for Factoid Question Answering
This model enhances the question answering system in the multi-document scenario from three aspects: model structure, optimization goal, and training method, corresponding to Multilayer Attention (MA), Cross Evidence (CE), and Adversarial Training (AT) respectively.
ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition
Under such circumstances, how to make full use of the information extracted by word embedding requires more in-depth research.
Deep Discriminative Representation Learning with Attention Map for Scene Classification
However, most recent approaches to remote sensing scene classification are based on Convolutional Neural Networks (CNNs).
A Remote Sensing Image Dataset for Cloud Removal
Removing clouds is an indispensable pre-processing step in remote sensing image analysis.
Wider Channel Attention Network for Remote Sensing Image Super-resolution
In this letter, we propose a novel single-image super-resolution (SISR) algorithm named Wider Channel Attention Network (WCAN) for remote sensing images.
A3Net: Adversarial-and-Attention Network for Machine Reading Comprehension
Meanwhile, we construct A3Net for the WebQA dataset.
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
With the development of deep learning, supervised learning has frequently been adopted to classify remotely sensed images using convolutional networks (CNNs).
