Referring multi-object tracking
Existing referring understanding tasks tend to involve the detection of a single text-referred
object. In this paper, we propose a new and general referring understanding task, termed …
object. In this paper, we propose a new and general referring understanding task, termed …
Cross-modality synergy network for referring expression comprehension and segmentation
Referring expression comprehension and segmentation aim to locate and segment a
referred instance in an image according to a natural language expression. However …
referred instance in an image according to a natural language expression. However …
Composed image retrieval via explicit erasure and replenishment with semantic alignment
G Zhang, S Wei, H Pang, S Qiu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Composed image retrieval aims at retrieving the desired images, given a reference image
and a text piece. To handle this task, two important subprocesses should be modeled …
and a text piece. To handle this task, two important subprocesses should be modeled …
Enhance Composed Image Retrieval via Multi-Level Collaborative Localization and Semantic Activeness Perception
G Zhang, S Wei, H Pang, S Qiu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Composed image retrieval (CIR) is an emerging and challenging research task that
combines two modalities, a reference image, and a modification text, into one query to …
combines two modalities, a reference image, and a modification text, into one query to …
Language-Conditioned Feature Pyramids for Visual Selection Tasks
Referring expression comprehension, which is the ability to locate language to an object in
an image, plays an important role in creating common ground. Many models that fuse visual …
an image, plays an important role in creating common ground. Many models that fuse visual …