Person Retrieval
25 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Person Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
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RSTPReid
ITCPR dataset
Latest papers with no code
CLEAR: Cross-Transformers with Pre-trained Language Model is All you need for Person Attribute Recognition and Retrieval
Therefore, in this paper, we present CLEAR, a unified network designed to address both tasks.
Prototype-Guided Text-based Person Search based on Rich Chinese Descriptions
Text-based person search aims to simultaneously localize and identify the target person based on query text from uncropped scene images, which can be regarded as the unified task of person detection and text-based person retrieval task.
Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval
In this work, we show the discrepancy between image-to-text association and text-to-image association and propose CADA: Cross-Modal Adaptive Dual Association that finely builds bidirectional image-text detailed associations.
CLIP-based Synergistic Knowledge Transfer for Text-based Person Retrieval
Text-based Person Retrieval (TPR) aims to retrieve the target person images given a textual query.
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
In this paper, we rethink the role of the classifier in person Re-ID, and advocate a new perspective to conceive the classifier as a projection from image features to class prototypes.
Exploring Fine-Grained Representation and Recomposition for Cloth-Changing Person Re-Identification
Images with similar so-called fine-grained attributes (e. g., clothes and viewpoints) are encouraged to cluster together.
Unleashing the Imagination of Text: A Novel Framework for Text-to-image Person Retrieval via Exploring the Power of Words
To address this issue, we propose a novel framework to Unleash the Imagination of Text (UIT) in text-to-image person retrieval, aiming to fully explore the power of words in sentences.
TVPR: Text-to-Video Person Retrieval and a New Benchmark
To the best of our knowledge, TVPRN is the first successful attempt to use video for text-based person retrieval task and has achieved state-of-the-art performance on TVPReid dataset.
Neighbour Consistency Guided Pseudo-Label Refinement for Unsupervised Person Re-Identification
In this paper, we propose a Neighbour Consistency guided Pseudo Label Refinement (NCPLR) framework, which can be regarded as a transductive form of label propagation under the assumption that the prediction of each example should be similar to its nearest neighbours'.
Attribute De-biased Vision Transformer (AD-ViT) for Long-Term Person Re-identification
Person re-identification (re-ID) aims to retrieve images of the same identity from a gallery of person images across cameras and viewpoints.
