Multiple relational learning network for joint referring expression comprehension and segmentation
Multi-task learning is a successful learning framework which improves the performance of
prediction models by leveraging knowledge among related tasks. Referring expression …
prediction models by leveraging knowledge among related tasks. Referring expression …
Local-global coordination with transformers for referring image segmentation
Referring image segmentation has sprung up benefiting from the outstanding performance
of deep neural networks. However, most existing methods explore either local details or the …
of deep neural networks. However, most existing methods explore either local details or the …
Fully and weakly supervised referring expression segmentation with end-to-end learning
Referring Expression Segmentation (RES), which is aimed at localizing and segmenting the
target according to the given language expression, has drawn increasing attention. Existing …
target according to the given language expression, has drawn increasing attention. Existing …
Referring expression comprehension via enhanced cross-modal graph attention networks
Referring expression comprehension aims to localize a specific object in an image
according to a given language description. It is still challenging to comprehend and mitigate …
according to a given language description. It is still challenging to comprehend and mitigate …
Dual-graph hierarchical interaction network for referring image segmentation
Abstract Referring Image Segmentation (RIS) aims to extract the object or stuff from an
image according to the given natural language expression. As a representative multi-modal …
image according to the given natural language expression. As a representative multi-modal …
Cross-modal transformer with language query for referring image segmentation
W Zhang, Q Tan, P Li, Q Zhang, R Wang - Neurocomputing, 2023 - Elsevier
Referring image segmentation (RIS) aims to predict a segmentation mask for a target
specified by a natural language expression. However, the existing methods failed to …
specified by a natural language expression. However, the existing methods failed to …
Multi-Stage Image-Language Cross-Generative Fusion Network for Video-Based Referring Expression Comprehension
Y Zhang, Q Li, Y Pan, X Zhao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Video-based referring expression comprehension is a challenging task that requires
locating the referred object in each video frame of a given video. While many existing …
locating the referred object in each video frame of a given video. While many existing …
Area-keywords cross-modal alignment for referring image segmentation
Referring image segmentation aims to segment the instance corresponding to the given
language description, which requires aligning information from two modalities. Existing …
language description, which requires aligning information from two modalities. Existing …
Unpaired referring expression grounding via bidirectional cross-modal matching
Referring expression grounding is an important and challenging task in computer vision. To
avoid the laborious annotation in conventional referring grounding, unpaired referring …
avoid the laborious annotation in conventional referring grounding, unpaired referring …
Exposing the Troublemakers in Described Object Detection
Detecting objects based on language descriptions is a popular task that includes Open-
Vocabulary object Detection (OVD) and Referring Expression Comprehension (REC). In this …
Vocabulary object Detection (OVD) and Referring Expression Comprehension (REC). In this …