Видео аннотирование
Related Papers
Multi-Task Video Captioning with Video and Entailment Generation
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 …...
Reinforced Video Captioning with Entailment Rewards
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 …...
Bridge Video and Text with Cascade Syntactic Structure
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 …...
Video Captioning with Multi-Faceted Attention
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 …...
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?
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 …...
Semi-Supervised Learning for Video Captioning
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 …...
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy Minimization
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 …...
BERTHA: Video Captioning Evaluation Via Transfer-Learned Human Assessment
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 …...
Modality Alignment between Deep Representations for Effective Video-and-Language Learning
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. …...