Technical Report for Soccernet 2023 -- Dense Video Captioning
In the task of dense video captioning of Soccernet dataset, we propose to generate a video caption of each soccer action and locate the timestamp of the caption. Firstly, we apply Blip as our video caption framework to generate video captions. Then we locate the timestamp by using (1) multi-size sliding windows (2) temporal proposal generation and (3 ...
Ruan, Zheng +7 more
openaire +2 more sources
Class-dependent and cross-modal memory network considering sentimental features for video-based captioning. [PDF]
Xiong H, Zhou Y, Liu J, Cai Y.
europepmc +1 more source
Towards Fault-Aware Image Captioning: A Review on Integrating Facial Expression Recognition (FER) and Object Detection. [PDF]
Khan AS, Abbass MJ, Khan AH.
europepmc +1 more source
Fusion of deep transfer learning models with Gannet optimisation algorithm for an advanced image captioning system for visual disabilities. [PDF]
Alkhaldi TM +3 more
europepmc +1 more source
AI-powered BlindSpot VisionGuide system on raspberry Pi for enhancing independence of visually impaired users. [PDF]
Sudha M +3 more
europepmc +1 more source
MIRA-CAP: Memory-Integrated Retrieval-Augmented Captioning for State-of-the-Art Image and Video Captioning. [PDF]
Umirzakova S +4 more
europepmc +1 more source
An innovative multi-head attention mechanism-driven recurrent neural network model with feature representation fusion for enhanced image captioning to assist individuals with visual impairments. [PDF]
Asiri MM +3 more
europepmc +1 more source
Lightweight visual accessibility LLaVA architecture. [PDF]
Han Z, Liu X, Hao J.
europepmc +1 more source
Video Captioning Using Global-Local Representation. [PDF]
Yan L +6 more
europepmc +1 more source
MSSA: memory-driven and simplified scaled attention for enhanced image captioning. [PDF]
Hossain MA +5 more
europepmc +1 more source

