Person Search
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Benchmarks
Most implemented
Beyond Appearance: a Semantic Controllable Self-Supervised Learning Framework for Human-Centric Visual Tasks
Efficient Person Search: An Anchor-Free Approach
Exploring Visual Context for Weakly Supervised Person Search
Domain Adaptive Person Search
Person Search in Videos with One Portrait Through Visual and Temporal Links
Papers
ROGLE: Robust Global-Local Alignment with Automated Region Supervision for Text-Based Person Search
Text-Based Person Search (TBPS) aims to retrieve pedestrian images using natural language queries. However, existing TBPS models, especially those based on CLIP, struggle with fine-grained understanding due to global rep…
Natural Language QueriesContrastive LearningPerson SearchARGOS: Who, Where, and When in Agentic Multi-Camera Person Search
Existing person search methods assume access to complete visual queries or exhaustive tracking, yet real-world witness accounts are vague, partial, and spread across cameras and time. We introduce ARGOS (Agentic Retrieva…
Spatial ReasoningPerson SearchHarnessing Weak Pair Uncertainty for Text-based Person Search
In this paper, we study the text-based person search, which is to retrieve the person of interest via natural language description. Prevailing methods usually focus on the strict one-to-one correspondence pair matching b…
Contrastive LearningImage-text matchingPerson SearchPretrain-then-Adapt: Uncertainty-Aware Test-Time Adaptation for Text-based Person Search
Text-based person search faces inherent limitations due to data scarcity, driven by stringent privacy constraints and the high cost of manual annotation. To mitigate this, existing methods usually rely on a Pretrain-then…
Test-time AdaptationImage RetrievalPerson SearchA Consensus-Driven Multi-LLM Pipeline for Missing-Person Investigations
The first 72 hours of a missing-person investigation are critical for successful recovery. Guardian is an end-to-end system designed to support missing-child investigation and early search planning. This paper presents t…
Information ExtractionPerson SearchCONQUER: Context-Aware Representation with Query Enhancement for Text-Based Person Search
Text-Based Person Search (TBPS) aims to retrieve pedestrian images from large galleries using natural language descriptions. This task, essential for public safety applications, is hindered by cross-modal discrepancies a…
Person Search