Видео аннотирование

task ID: videocaptioning

Related Papers

Multi-Task Video Captioning with Video and Entailment Generation

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractVideo captioning, the task of describing the content of a video, has seen some promising improvements in recent years with sequence-to-sequence models, but accurately learning the temporal and logical dynamics …...

40001

Reinforced Video Captioning with Entailment Rewards

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractSequence-to-sequence models have shown promising improvements on the temporal task of video captioning, but they optimize word-level cross-entropy loss during training. First, using policy gradient and mixed-loss methods for reinforcement …...

33017

Bridge Video and Text with Cascade Syntactic Structure

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractWe present a video captioning approach that encodes features by progressively completing syntactic structure (LSTM-CSS). To construct basic syntactic structure (i.e., subject, predicate, and object), we use a Conditional Random …...

5217

Video Captioning with Multi-Faceted Attention

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractVideo captioning has attracted an increasing amount of interest, due in part to its potential for improved accessibility and information retrieval. While existing methods rely on different kinds of visual …...

27236

Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractData privacy is an important issue for “machine learning as a service” providers. We focus on the problem of membership inference attacks: Given a data sample and black-box access to …...

26952

Semi-Supervised Learning for Video Captioning

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractDeep neural networks have made great success on video captioning in supervised learning setting. However, annotating videos with descriptions is very expensive and time-consuming. If the video captioning algorithm can …...

32381

DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractLeveraging large-scale unlabeled web videos such as instructional videos for pre-training followed by task-specific finetuning has become the de facto approach for many video-and-language tasks. However, these instructional videos are …...

21682

BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractEvaluating video captioning systems is a challenging task as there are multiple factors to consider; for instance: the fluency of the caption, multiple actions happening in a single scene, and …...

16135

Modality Alignment between Deep Representations for Effective Video-and-Language Learning

Authors: nan

Publication: TIPSTER (2022)

DOI: nan

AbstractVideo-and-Language learning, such as video question answering or video captioning, is the next challenge in the deep learning society, as it pursues the way how human intelligence perceives everyday life. …...

15565