AutoCaption: Image captioning with neural architecture search
Image captioning transforms complex visual information into abstract natural language for
representation, which can help computers understanding the world quickly. However, due to …
representation, which can help computers understanding the world quickly. However, due to …
Evolutionary recurrent neural network for image captioning
H Wang, H Wang, K Xu - Neurocomputing, 2020 - Elsevier
Automatic architecture search is efficient to discover novel neural networks while it is mostly
employed for pure vision or natural language tasks. However, cross-modality tasks are …
employed for pure vision or natural language tasks. However, cross-modality tasks are …
Image understanding by captioning with differentiable architecture search
R Hosseini, P Xie - Proceedings of the 30th ACM international …, 2022 - dl.acm.org
In deep learning applications, image understanding is a crucial task, where several
techniques such as image captioning and visual question answering have been widely …
techniques such as image captioning and visual question answering have been widely …
Stack-captioning: Coarse-to-fine learning for image captioning
The existing image captioning approaches typically train a one-stage sentence decoder,
which is difficult to generate rich fine-grained descriptions. On the other hand, multi-stage …
which is difficult to generate rich fine-grained descriptions. On the other hand, multi-stage …
Attention beam: An image captioning approach
A Shrimal, T Chakraborty - arXiv preprint arXiv:2011.01753, 2020 - arxiv.org
The aim of image captioning is to generate textual description of a given image. Though
seemingly an easy task for humans, it is challenging for machines as it requires the ability to …
seemingly an easy task for humans, it is challenging for machines as it requires the ability to …
Revisiting knowledge distillation for image captioning
Abstract Knowledge Distillation (KD)[6], as an effective technique for model compression
and improving a model's performance, has been widely studied and adopted. However …
and improving a model's performance, has been widely studied and adopted. However …
Fast, diverse and accurate image captioning guided by part-of-speech
Image captioning is an ambiguous problem, with many suitable captions for an image. To
address ambiguity, beam search is the de facto method for sampling multiple captions …
address ambiguity, beam search is the de facto method for sampling multiple captions …
Show and tell: A neural image caption generator
Automatically describing the content of an image is a fundamental problem in artificial
intelligence that connects computer vision and natural language processing. In this paper …
intelligence that connects computer vision and natural language processing. In this paper …
Bidirectional beam search: Forward-backward inference in neural sequence models for fill-in-the-blank image captioning
We develop the first approximate inference algorithm for 1-Best (and M-Best) decoding in
bidirectional neural sequence models by extending Beam Search (BS) to reason about both …
bidirectional neural sequence models by extending Beam Search (BS) to reason about both …
Caponimage: Context-driven dense-captioning on image
Existing image captioning systems are dedicated to generating narrative captions for
images, which are spatially detached from the image in presentation. However, texts can …
images, which are spatially detached from the image in presentation. However, texts can …