Papers Person Retrieval
“Person Retrieval” 태그가 달린 논문 83편 · 필터 해제
Heterogeneous Vision-Language Ensemble with Disagreement-Aware Reranking for Text-Based Person Anomaly Retrieval
Text-based person anomaly retrieval aims to retrieve pedestrians exhibiting anomalous behaviors from a large image gallery using natural language descriptions. Compared with conventional text-based person retrieval, this…
Multimodal ReasoningPerson RetrievalAchieving Text-based Person Retrieval with Any Granularity
Text-based person retrieval faces a critical but under-explored challenge: the inherent uncertainty of query granularity in real-world scenarios. This paper introduces a new paradigm, Text-based Person Retrieval with Any…
Person RetrievalTo Be Multimodal or Not to Be: Query-Adaptive Audio-Visual Person Retrieval via Active Modality Detection
When retrieving a person from a video archive by voice and face, should the system be multimodal or not? In real-world broadcast archives, unlike curated benchmarks, a target may be heard but unseen, seen but unheard, or…
Person RetrievalTowards Robust Text-to-Image Person Retrieval: Multi-View Reformulation for Semantic Compensation
In text-to-image person retrieval tasks, the diversity of natural language expressions and the implicitness of visual semantics often lead to the problem of Expression Drift, where semantically equivalent texts exhibit s…
Person RetrievalTimeWeaver: Age-Consistent Reference-Based Face Restoration with Identity Preservation
Recent progress in face restoration has shifted from visual fidelity to identity fidelity, driving a transition from reference-free to reference-based paradigms that condition restoration on reference images of the same …
Person RetrievalCross-modal Fuzzy Alignment Network for Text-Aerial Person Retrieval and A Large-scale Benchmark
Text-aerial person retrieval aims to identify targets in UAV-captured images from eyewitness descriptions, supporting intelligent transportation and public security applications. Compared to ground-view text--image perso…
Person RetrievalText GenerationVision-Language Attribute Disentanglement and Reinforcement for Lifelong Person Re-Identification
Lifelong person re-identification (LReID) aims to learn from varying domains to obtain a unified person retrieval model. Existing LReID approaches typically focus on learning from scratch or a visual classification-pretr…
Person Re-IdentificationAttribute ExtractionPerson RetrievalUniPAR: A Unified Framework for Pedestrian Attribute Recognition
Pedestrian Attribute Recognition is a foundational computer vision task that provides essential support for downstream applications, including person retrieval in video surveillance and intelligent retail analytics. Howe…
Pedestrian Attribute RecognitionDomain GeneralizationPerson RetrievalGEA: Generation-Enhanced Alignment for Text-to-Image Person Retrieval
Text-to-Image Person Retrieval (TIPR) aims to retrieve person images based on natural language descriptions. Although many TIPR methods have achieved promising results, sometimes textual queries cannot accurately and com…
Cross-Modal RetrievalPerson RetrievalText-based Aerial-Ground Person Retrieval
This work introduces Text-based Aerial-Ground Person Retrieval (TAG-PR), which aims to retrieve person images from heterogeneous aerial and ground views with textual descriptions. Unlike traditional Text-based Person Ret…
Person RetrievalText GenerationMultilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning
Text-to-image person retrieval (TIPR) aims to identify the target person using textual descriptions, facing challenge in modality heterogeneity. Prior works have attempted to address it by developing cross-modal global o…
Person RetrievalCross-modal Full-mode Fine-grained Alignment for Text-to-Image Person Retrieval
Text-to-Image Person Retrieval (TIPR) is a cross-modal matching task designed to identify the person images that best correspond to a given textual description. The key difficulty in TIPR is to realize robust corresponde…
Relational ReasoningPerson RetrievalChat-Driven Text Generation and Interaction for Person Retrieval
Text-based person search (TBPS) enables the retrieval of person images from large-scale databases using natural language descriptions, offering critical value in surveillance applications. However, a major challenge lies…
Person RetrievalText GenerationPerson SearchGradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval
Although Contrastive Language-Image Pre-training (CLIP) exhibits strong performance across diverse vision tasks, its application to person representation learning faces two critical challenges: (i) the scarcity of large-…
Representation LearningContrastive LearningPerson RetrievalOpen-Attribute Person Retrieval: Finding People Through Distinctive and Novel Attributes
Person retrieval in surveillance videos often depends on attributes described by witnesses or operators. However, the most useful cues in practice are not always common appearance descriptions (e.g., gender, clothing col…
Person RetrievalMinimizing the Pretraining Gap: Domain-aligned Text-Based Person Retrieval
In this work, we focus on text-based person retrieval, which identifies individuals based on textual descriptions. Despite advancements enabled by synthetic data for pretraining, a significant domain gap, due to variatio…
Domain AdaptationPerson RetrievalSA-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+1Distribution-aware Forgetting Compensation for Exemplar-Free Lifelong Person Re-identification
Lifelong Person Re-identification (LReID) suffers from a key challenge in preserving old knowledge while adapting to new information. The existing solutions include rehearsal-based and rehearsal-free methods to address t…
Exemplar-FreeKnowledge DistillationLifelong learningMixture-of-Experts+4UP-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+1