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Automatic image caption generation using deep learning
Image captioning is an interesting and challenging task with applications in diverse domains such as image retrieval, organizing and locating images...
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An efficient automated image caption generation by the encoder decoder model
Image caption generation is becoming one of the hot research topics and attracts various researchers. It is a complex process because it utilizes...
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Research on image caption generation method based on multi-modal pre-training model and text mixup optimization
In recent years, multi-modal pre-training models have demonstrated remarkable cross-modal representation capabilities, catalyzing the rapid evolution...
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GVA: guided visual attention approach for automatic image caption generation
Automated image caption generation with attention mechanisms focuses on visual features including objects, attributes, actions, and scenes of the...
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Combining semi-supervised model and optimized LSTM for image caption generation based on pseudo labels
Artificial intelligence’s crucial area of image captions. It’s a very difficult situation until the advancement of DL is made. A lot of open...
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Assamese news image caption generation using attention mechanism
In recent times, neural networks and deep learning have made significant contributions in various research domains. In the present work, we report...
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Image caption generation using transformer learning methods: a case study on instagram image
Nowadays, images are being used more extensively for communication purposes. A single image can convey a variety of stories, depending on the...
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Unbiased Image Caption Generation Based on Dynamic Counterfactual Inference
Recent research has focused on exploring causality in image description generation. Some studies have proposed using backdoor criteria to eliminate...
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Image caption generation using Visual Attention Prediction and Contextual Spatial Relation Extraction
Automatic caption generation with attention mechanisms aims at generating more descriptive captions containing coarser to finer semantic contents in...
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Transformer model incorporating local graph semantic attention for image caption
Aiming at the problem of isolating semantic information of existing transformer-based models in the image captioning tasks, a transformer model...
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Attending Local and Global Features for Image Caption Generation
Attention based deep learning architectures have been used extensively for image captioning. Early methods used attention over global features for...
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Song lyrics recommendation for social media captions using image captioning, image emotion, and caption-lyric matching via universal sentence embedding
Nowadays, simply posting images on social media are not enough to attract attention. Many platforms encourage users to upload images with captions or...
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Spatial-aware topic-driven-based image Chinese caption for disaster news
Automatically generating descriptions for disaster news images could effectively accelerate the spread of disaster message and lighten the burden of...
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From methods to datasets: A survey on Image-Caption Generators
Image - Caption Generator is a popular Artificial Intelligence research tool that works with image comprehension and language definition. Creating...
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CAPTION: Caption Analysis with Proposed Terms, Image of Objects, and Natural Language Processing
This paper proposes a novel algorithm, called CAPTION, for identifying and correcting errors in automatically generated image captions. The algorithm...
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An encoder-decoder based framework for hindi image caption generation
In recent times, research activity on image caption generation has attracted several researchers. The present work attempt to address the problem of...
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Image Caption Generation for Low Light Images
Image captioning is the task of understanding an image and generating semantically and grammatically correct text captions. Existing work on image...
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Layer-wise enhanced transformer with multi-modal fusion for image caption
Image caption can automatically generate a descriptive sentence according to the image. Transformer-based architectures show significant performance...
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Caption TLSTMs: combining transformer with LSTMs for image captioning
Image to captions has attracted widespread attention over the years. Recurrent neural networks (RNN) and their corresponding variants have been the...
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Controllable Image Caption Based on Adaptive Weight and Optimization Strategy
AbstractTo improve the controllability and interpretability of image captioning generation, an adaptive optimization strategy for controllable image...
