Papers Text based Person Retrieval
“Text based Person Retrieval” 태그가 달린 논문 49편 · 필터 해제
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+1MARS: Paying more attention to visual attributes for text-based person search
Text-based person search (TBPS) is a problem that gained significant interest within the research community. The task is that of retrieving one or more images of a specific individual based on a textual description. The …
AttributePerson Re-IdentificationPerson RetrievalPerson Search+2Beat: Bi-directional One-to-Many Embedding Alignment for Text-based Person Retrieval
Text-based person retrieval (TPR) is a challenging task that involves retrieving a specific individual based on a textual description. Despite considerable efforts to bridge the gap between vision and language, the signi…
Image-text RetrievalPerson RetrievalRetrievalText based Person Retrieval+2Data Augmentation for Text-based Person Retrieval Using Large Language Models
Text-based Person Retrieval (TPR) aims to retrieve person images that match the description given a text query. The performance improvement of the TPR model relies on high-quality data for supervised training. However, i…
Data AugmentationPerson RetrievalRetrievalSentence+2DualFocus: Integrating Plausible Descriptions in Text-based Person Re-identification
Text-based Person Re-identification (TPR) aims to retrieve specific individual images from datasets based on textual descriptions. Existing TPR methods primarily focus on recognizing explicit and positive characteristics…
AttributePerson Re-IdentificationPerson RetrievalPrompt Learning+3From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search
In text-based person search endeavors, data generation has emerged as a prevailing practice, addressing concerns over privacy preservation and the arduous task of manual annotation. Although the number of synthesized dat…
Person SearchText based Person RetrievalText based Person SearchPrototype-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…
Human DetectionPerson RetrievalPerson SearchRetrieval+3PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
Person Re-Identification (Re-ID) task seeks to enhance the tracking of multiple individuals by surveillance cameras. It supports multimodal tasks, including text-based person retrieval and human matching. One of the most…
Clothes Changing Person Re-IdentificationPerson Re-IdentificationPerson RetrievalText based Person Retrieval+2UFineBench: 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 texts in real scenarios. To address this probl…
Person RetrievalRetrievalText based Person RetrievalText-based Person RetrievalCross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval
Text-to-image person re-identification (ReID) aims to retrieve images of a person based on a given textual description. The key challenge is to learn the relations between detailed information from visual and textual mod…
AttributeCross-Modal Person Re-IdentificationImage to textPerson Re-Identification+4Automatic Synthetic Data and Fine-grained Adaptive Feature Alignment for Composed Person Retrieval
Person retrieval has attracted rising attention. Existing methods are mainly divided into two retrieval modes, namely image-only and text-only. However, they are unable to make full use of the available information and a…
Image GenerationPerson RetrievalRetrievalText based Person Retrieval+2VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search
Text-based Person Search (TBPS) aims to retrieve images of target pedestrian indicated by textual descriptions. It is essential for TBPS to extract fine-grained local features and align them crossing modality. Existing m…
Person SearchText based Person RetrievalText based Person SearchTransfer LearningCLIP-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. The primary challenge lies in bridging the substantial gap between vision and language modalities, especially when dealin…
Image to textPerson RetrievalRetrievalText based Person Retrieval+2An Empirical Study of CLIP for Text-based Person Search
Text-based Person Search (TBPS) aims to retrieve the person images using natural language descriptions. Recently, Contrastive Language Image Pretraining (CLIP), a universal large cross-modal vision-language pre-training …
Cross-Modal RetrievalData AugmentationModel CompressionPerson Search+3Noisy-Correspondence Learning for Text-to-Image Person Re-identification
Text-to-image person re-identification (TIReID) is a compelling topic in the cross-modal community, which aims to retrieve the target person based on a textual query. Although numerous TIReID methods have been proposed a…
Person Re-IdentificationText based Person RetrievalText-based Person Retrieval with Noisy CorrespondenceTriplet