10 papers
Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval
Haiwen Li, Fei Su, Zhicheng Zhao
As a challenging vision-language task, Zero-Shot Composed Image Retrieval (ZS-CIR) is designed to retrieve target images using bi-modal (image+text) queries. Typical ZS-CIR methods…
Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey
Zhu Meng, Junhao Dong, Limei Guo +4
Signet ring cells (SRCs), associated with a high propensity for peripheral metastasis and poor prognosis, critically influence surgical decision-making and outcome prediction. Howe…
Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
Delong Liu, Haiwen Li, Zhaohui Hou +3
Person retrieval has attracted rising attention. Existing methods are mainly divided into two retrieval modes, namely image-only and text-only. However, they are unable to make ful…
Data-Efficient Generalization for Zero-shot Composed Image Retrieval
Zining Chen, Zhicheng Zhao, Fei Su +2
Zero-shot Composed Image Retrieval (ZS-CIR) aims to retrieve the target image based on a reference image and a text description without requiring in-distribution triplets for train…
Text-guided Image Restoration and Semantic Enhancement for Text-to-Image Person Retrieval
Delong Liu, Haiwen Li, Zhicheng Zhao +1
The goal of Text-to-Image Person Retrieval (TIPR) is to retrieve specific person images according to the given textual descriptions. A primary challenge in this task is bridging th…
Bring Adaptive Binding Prototypes to Generalized Referring Expression Segmentation
Weize Li, Zhicheng Zhao, Haochen Bai +1
Referring Expression Segmentation (RES) has attracted rising attention, aiming to identify and segment objects based on natural language expressions. While substantial progress has…