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Context-Assisted Active Learning for Weakly Supervised Person Search
R Takezoe, H Chen, G Shen, X Lv, Y Wang… - ACM Transactions on …, 2025 - dl.acm.org
Person search is a challenging task that aims to jointly detect and identify a target person
from a large-scale scene image dataset. Fully supervised person search requires both …
from a large-scale scene image dataset. Fully supervised person search requires both …
PSDiff: Diffusion Model for Person Search with Iterative and Collaborative Refinement
Dominant Person Search methods aim to localize and recognize query persons in a unified
network, which jointly optimizes the two sub-tasks of pedestrian detection and Re …
network, which jointly optimizes the two sub-tasks of pedestrian detection and Re …
Correlation-aware Cross-modal Attention Network for Fashion Compatibility Modeling in UGC Systems
Empowered by the continuous integration of social multimedia and artificial intelligence, the
application scenarios of information retrieval (IR) progressively tend to be diversified and …
application scenarios of information retrieval (IR) progressively tend to be diversified and …