Fine|grained Video Captioning via Precise Key Point Positioning

Fine-grained Video Captioning via Precise Key Point Positioning

Because the model lacks the ability to focus on fine-grained features, it does not generate captions very well. ... In order to improve the effect of generating ...

Fine-grained Video Captioning via Precise Key Point Positioning

Fine-grained Video Captioning via Precise Key Point Positioning. g. In Proceedings of the 4th Person in Context Workshop and Challenge (PIC ...

Fine-grained length controllable video captioning with ordinal ... - arXiv

Experiments using ActivityNet Captions and Spoken Moments in Time show that the proposed method effectively controls the length of the generated ...

Fine-Grained Video Captioning for Sports Narrative

The features from two branch are fused and decoded into narratives via a hierarchically recurrent structure. attended location, therefore to precisely localize ...

Fine-grained video paragraph captioning via exploring object ...

key component to form the concept for the entire. 071 video, resulting in ... an "imaginative-to-precise" network to encourage. 107 the suitable concepts ...

Momentor: Advancing Video Large Language Model with Fine ...

... precise temporal positioning and fine-grained temporal information injection. ... 5.3 Dense Video Captioning. Report issue for preceding element.

Fine-Grained Video Captioning via Graph-based Multi-Granularity ...

Point cloud is an important type of geometric data structure. ... On the Application of Deep Learning for Precise Indoor Positioning in 6G.

Exploring deep learning approaches for video captioning

... fine-grained temporal localization. The dataset is ... Understanding the temporal context is important for generating accurate and meaningful captions.

Exploring Fine-Grained Human Motion Video Captioning

videos. On one hand, it can regress the 3D coordi-. 292 nates of human skeleton key points at each frame. 293. On the other hand, it can predict the local ...

Video Captioning. Automatic description generation from…

In this article, a novel deep learning neural network architecture is introduced and implemented on the MST-VTT dataset by using I3D and 2DCNN ...

Exploring diverse and fine-grained caption for video by ...

Dual-stage loss optimizes model from different levels. •. LSTM-based decoder generates sentences with high precision. •. Convolutional decoder produces diverse ...

Towards fine-grained adaptive video captioning via Quality-Aware ...

Request PDF | On Oct 1, 2024, Tianyang Xu and others published Towards fine-grained adaptive video captioning via Quality-Aware Recurrent ...

Accurate and Fast Compressed Video Captioning

In this pipeline, manual frame sampling may ignore key information in videos and thus degrade performance. Additionally, redundant infor- mation in the sampled ...

Sports Video Captioning via Attentive Motion Representation and ...

In contrast, the task of sports video captioning needs to capture more fine-grained individual action details and group relationships between players. The main.

Sketch, Ground, and Refine: Top-Down Dense Video Captioning

In the re- fining stage, we improve captioning quality via refinement- enhanced training and dual-path cross attention on both coarse-grained event captions and ...

Semantic guidance network for video captioning | Scientific Reports

First, a scene frame sampling method is proposed using the image similarity algorithm for the model to perform critical scene frame selection, ...

Sports Video Captioning by Attentive Motion Representation based ...

Player's individual action is the main fine-grained motion information in sports event, ... Interpretable Video Captioning via Trajectory Structured. Localization ...

RETRACTED ARTICLE: Video captioning: a review of theory ...

The important point to note in the architecture of VGG here is ... video captioning via trajectory structured localization. In: CVPR ...

Visual to Text: Survey of Image and Video Captioning - IEEE Xplore

The key point for such above architecture is how to encode representative ... via element-wise add. Similar to m-RNN [92], the long-term recurrent ...

Evaluating and Fine-Tuning Multimodal Video Captioning Models

To make it reliable, accurate, and trustworthy evaluation and fine-tuning is important ... fine-tuning video captioning models using a minimal ...