Survey on multi-output learning
The aim of multi-output learning is to simultaneously predict multiple outputs given an input.
It is an important learning problem for decision-making since making decisions in the real …
It is an important learning problem for decision-making since making decisions in the real …
Region-object relation-aware dense captioning via transformer
Dense captioning provides detailed captions of complex visual scenes. While a number of
successes have been achieved in recent years, there are still two broad limitations: 1) most …
successes have been achieved in recent years, there are still two broad limitations: 1) most …
Long-term video question answering via multimodal hierarchical memory attentive networks
Long-term Video Question Answering plays an essential role in visual information retrieval,
which aims at generating natural language answers to discretionary free-form questions …
which aims at generating natural language answers to discretionary free-form questions …
Fine-grained visual–text prompt-driven self-training for open-vocabulary object detection
Inspired by the success of vision–language methods (VLMs) in zero-shot classification,
recent works attempt to extend this line of work into object detection by leveraging the …
recent works attempt to extend this line of work into object detection by leveraging the …
Compositional attention networks with two-stream fusion for video question answering
Given a video, Video Question Answering (VideoQA) aims at answering arbitrary free-form
questions about the video content in natural language. A successful VideoQA framework …
questions about the video content in natural language. A successful VideoQA framework …
End-to-end supermask pruning: Learning to prune image captioning models
With the advancement of deep models, research work on image captioning has led to a
remarkable gain in raw performance over the last decade, along with increasing model …
remarkable gain in raw performance over the last decade, along with increasing model …
Evolution of automatic visual description techniques-a methodological survey
A Bhowmik, S Kumar, N Bhat - Multimedia Tools and Applications, 2021 - Springer
Describing the contents and activities in an image or video in semantically and syntactically
correct sentences are known as captioning. Automated captioning is one of the most …
correct sentences are known as captioning. Automated captioning is one of the most …
Semantic-Aware Dynamic Generation Networks for Few-Shot Human–Object Interaction Recognition
Recognizing human–object interaction (HOI) aims at inferring various relationships between
actions and objects. Although great progress in HOI has been made, the long-tail problem …
actions and objects. Although great progress in HOI has been made, the long-tail problem …
Image captioning using hybrid LSTM-RNN with deep features
KP Deorukhkar, S Ket - Sensing and Imaging, 2022 - Springer
Automated image captioning is the process of creating textual, human-like subtitles or
explanations for photos based on their content. Throughout the image captioning problem …
explanations for photos based on their content. Throughout the image captioning problem …
A comprehensive survey on deep-learning-based visual captioning
Generating a description for an image/video is termed as the visual captioning task. It
requires the model to capture the semantic information of visual content and translate them …
requires the model to capture the semantic information of visual content and translate them …