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Found 5 papers, 3 papers with code
Spatial Cascaded Clustering and Weighted Memory for Unsupervised Person Re-identification
We introduce the Spatial Cascaded Clustering and Weighted Memory (SCWM) method to address these challenges.
MobileSpeech: A Fast and High-Fidelity Framework for Mobile Zero-Shot Text-to-Speech
Moreover, to bridge the gap between text and speech, we introduce a high-level probabilistic mask that simulates the progression of information flow from less to more during speech generation.
UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity
Firstly, we construct a new \textbf{dataset} named UFine6926.
TextrolSpeech: A Text Style Control Speech Corpus With Codec Language Text-to-Speech Models
The dataset comprises 236, 220 pairs of style prompt in natural text descriptions with five style factors and corresponding speech samples.
PLIP: Language-Image Pre-training for Person Representation Learning
To address this issue, we propose a novel language-image pre-training framework for person representation learning, termed PLIP.
Ranked #5 on
Text based Person Retrieval
on ICFG-PEDES
