Text based Person Retrieval
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Benchmarks
Most implemented
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
Dual-Path Convolutional Image-Text Embeddings with Instance Loss
CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval
Papers
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking
Text-based person retrieval aims to identify a target individual from a gallery of images based on a natural language description. It presents a significant challenge due to the complexity of real-world scenes and the am…
Cross-Modal RetrievalPerson RetrievalRe-RankingRetrieval+2CAMeL: Cross-modality Adaptive Meta-Learning for Text-based Person Retrieval
Text-based person retrieval aims to identify specific individuals within an image database using textual descriptions. Due to the high cost of annotation and privacy protection, researchers resort to synthesized data for…
Meta-LearningPerson RetrievalRetrievalText based Person Retrieval+1UP-Person: Unified Parameter-Efficient Transfer Learning for Text-based Person Retrieval
Text-based Person Retrieval (TPR) as a multi-modal task, which aims to retrieve the target person from a pool of candidate images given a text description, has recently garnered considerable attention due to the progress…
Person RetrievalRetrievalText based Person RetrievalText-based Person Retrieval+1An Empirical Study of Validating Synthetic Data for Text-Based Person Retrieval
Data plays a pivotal role in Text-Based Person Retrieval (TBPR) research. Mainstream research paradigm necessitates real-world person images with manual textual annotations for training models, posing privacy-sensitive a…
Image AugmentationImage GenerationPerson RetrievalRetrieval+3Chat-based Person Retrieval via Dialogue-Refined Cross-Modal Alignment
Traditional text-based person retrieval (TPR) relies on a single-shot text as query to retrieve the target person, assuming that the query completely captures the user's search intent. However, in real-world scenario…
Attributecross-modal alignmentData AugmentationPerson Retrieval+5Multi-path Exploration and Feedback Adjustment for Text-to-Image Person Retrieval
Text-based person retrieval aims to identify the specific persons using textual descriptions as queries. Existing ad vanced methods typically depend on vision-language pre trained (VLP) models to facilitate effective cro…
cross-modal alignmentPerson RetrievalRetrievalText based Person Retrieval+1