Papers Text based Person Search
“Text based Person Search” 태그가 달린 논문 37편 · 필터 해제
Dynamic Uncertainty Learning with Noisy Correspondence for Text-Based Person Search
Text-to-image person search aims to identify an individual based on a text description. To reduce data collection costs, large-scale text-image datasets are created from co-occurrence pairs found online. However, this ca…
Person SearchRetrievalText based Person SearchUncertainty-Aware Prototype Semantic Decoupling for Text-Based Person Search in Full Images
Text-based pedestrian search (TBPS) in full images aims to locate a target pedestrian in untrimmed images using natural language descriptions. However, in complex scenes with multiple pedestrians, existing methods are li…
Person SearchText based Person SearchBoosting Weak Positives for Text Based Person Search
Large vision-language models have revolutionized cross-modal object retrieval, but text-based person search (TBPS) remains a challenging task due to limited data and fine-grained nature of the task. Existing methods prim…
Person SearchText based Person SearchImproving Text-based Person Search via Part-level Cross-modal Correspondence
Text-based person search is the task of finding person images that are the most relevant to the natural language text description given as query. The main challenge of this task is a large gap between the target images a…
DecoderPerson SearchText based Person SearchEnhancing Visual Representation for Text-based Person Searching
Text-based person search aims to retrieve the matched pedestrians from a large-scale image database according to the text description. The core difficulty of this task is how to extract effective details from pedestrian …
cross-modal alignmentPerson SearchText based Person SearchKnowing Where to Focus: Attention-Guided Alignment for Text-based Person Search
In the realm of Text-Based Person Search (TBPS), mainstream methods aim to explore more efficient interaction frameworks between text descriptions and visual data. However, recent approaches encounter two principal chall…
Language ModelingLanguage ModellingMasked Language ModelingPerson Search+1Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Search
Text-based person search aims to retrieve specific individuals across camera networks using natural language descriptions. However, current benchmarks often exhibit biases towards common actions like walking or standing,…
Person SearchText based Person SearchPLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery
Text-based person search, employing free-form text queries to identify individuals within a vast image collection, presents a unique challenge in aligning visual and textual representations, particularly at the human par…
Person SearchRetrievalText based Person SearchMARS: 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+2LAIP: Learning Local Alignment from Image-Phrase Modeling for Text-based Person Search
Text-based person search aims at retrieving images of a particular person based on a given textual description. A common solution for this task is to directly match the entire images and texts, i.e., global alignment, wh…
Person SearchText based Person SearchSemi-supervised Text-based Person Search
Text-based person search (TBPS) aims to retrieve images of a specific person from a large image gallery based on a natural language description. Existing methods rely on massive annotated image-text data to achieve satis…
Image CaptioningPerson SearchRetrievalText based Person SearchFrom 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+3Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search
Given a descriptive text query, text-based person search (TBPS) aims to retrieve the best-matched target person from an image gallery. Such a cross-modal retrieval task is quite challenging due to significant modality ga…
Contrastive LearningCross-Modal RetrievalDescriptivePerson Search+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 LearningAn 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+3RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
Text-based person search aims to retrieve the specified person images given a textual description. The key to tackling such a challenging task is to learn powerful multi-modal representations. Towards this, we propose a …
Person SearchRelationSensitivityText based Person Retrieval+1Text-based Person Search without Parallel Image-Text Data
Text-based person search (TBPS) aims to retrieve the images of the target person from a large image gallery based on a given natural language description. Existing methods are dominated by training models with parallel i…
Image CaptioningLanguage ModelingLanguage ModellingLarge Language Model+3Learning Transferable Pedestrian Representation from Multimodal Information Supervision
Recent researches on unsupervised person re-identification~(reID) have demonstrated that pre-training on unlabeled person images achieves superior performance on downstream reID tasks than pre-training on ImageNet. Howev…
AttributeContrastive LearningPerson Re-IdentificationPerson Search+2SCMM: Calibrating Cross-modal Representations for Text-Based Person Search
Text-Based Person Search (TBPS) is a crucial task in the Internet of Things (IoT) domain that enables accurate retrieval of target individuals from large-scale galleries with only given textual caption. For cross-modal T…
Person SearchText based Person Search