UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
Existing text-based person retrieval datasets often have relatively coarse-grained text
annotations. This hinders the model to comprehend the fine-grained semantics of query …
annotations. This hinders the model to comprehend the fine-grained semantics of query …
FedSH: Towards Privacy-preserving Text-based Person Re-Identification
Text-based person re-identification (ReID) has enabled canonical applications in searching
for and tracking targets from large-scale surveillance images with textual descriptions. Yet …
for and tracking targets from large-scale surveillance images with textual descriptions. Yet …
Person search over security video surveillance systems using deep learning methods: A review
S Irene, AJ Prakash, VR Uthariaraj - Image and Vision Computing, 2024 - Elsevier
Person search has become one of the most critical and challenging applications in today's
video surveillance systems. It helps in locating a person in surveillance videos, which is …
video surveillance systems. It helps in locating a person in surveillance videos, which is …
Person retrieval in surveillance videos using attribute recognition
H Galiyawala, MS Raval, M Patel - Journal of Ambient Intelligence and …, 2024 - Springer
In person attribute recognition (PAR), an individual is described by his or her appearance.
PAR-based person retrieval is a cross-modal problem where the input is a textual …
PAR-based person retrieval is a cross-modal problem where the input is a textual …