The goal of referring video object segmentation (RVOS) is to localize the entities in a video that are matched with the description of a natural language ...

We propose a novel multi-level representation learning approach, which explores the inherent structure of the video content to provide a set of discriminative ...

The goal of referring video object segmentation (RVOS) is to localize the entities in a video that are matched with the description of a natural language ...

PDF | On Jun 1, 2022, Dongming Wu and others published Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation |

Dec 12, 2021 · Referring video object segmentation aims at segmenting an object in video with language expressions. Unlike the previous video object segmentation.

This article provides a historical overview of deep learning and focus on its applications in object recognition, detection, and segmentation, ...

Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation, CVPR, PDF. MANet, Multi-Attention Network for Compressed ...

This paper designs a plug-and-play inter-frame interaction module in the Transformer decoder to learn the spatio-temporal features of the referred object, ...

Shen, “Multi-level representation learning with semantic alignment for referring video object segmentation,” in CVPR, 2022, pp. 4996–5005. [73] C. Liang, Y ...

Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation ... Object Cluster for Referring Video Object Segmentation.