5 papers
RankVR: Low-Rank Structure Perception and Value Recalibration for Robust Composed Image Retrieval
Jiale Huang, Zixu Li, Zhiheng Fu +3
Composed Image Retrieval (CIR) constitutes a pivotal paradigm requiring models to perform joint reasoning on reference images and modification texts. However, the prevalence of Noi…
INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval
Zhiwei Chen, Yupeng Hu, Zhiheng Fu +4
Composed Image Retrieval (CIR) is a challenging image retrieval paradigm that enables to retrieve target images based on multimodal queries consisting of reference images and modif…
HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval
Zixu Li, Yupeng Hu, Zhiwei Chen +4
Composed Image Retrieval (CIR) is a flexible image retrieval paradigm that enables users to accurately locate the target image through a multimodal query composed of a reference im…
ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval
Zixu Li, Yupeng Hu, Zhiwei Chen +4
With the rapid growth of video data, Composed Video Retrieval (CVR) has emerged as a novel paradigm in video retrieval and is receiving increasing attention from researchers. Unlik…
MELT: Improve Composed Image Retrieval via the Modification Frequentation-Rarity Balance Network
Guozhi Qiu, Zhiwei Chen, Zixu Li +4
Composed Image Retrieval (CIR) uses a reference image and a modification text as a query to retrieve a target image satisfying the requirement of ``modifying the reference image ac…