https://github.com/Dacun/Text-based-Person-Search
공식 코드Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
Learning Transferable Pedestrian Representation from Multimodal Information Supervision
MARS: Paying more attention to visual attributes for text-based person search
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search
Contrastive Transformer Learning with Proximity Data Generation for Text-Based Person Search
Asymmetric Cross-Scale Alignment for Text-Based Person Search
Learning Semantic-Aligned Feature Representation for Text-based Person Search
CLIP-Driven Fine-grained Text-Image Person Re-identification
Beyond Walking: A Large-Scale Image-Text Benchmark for Text-based Person Anomaly Search
Enhancing Visual Representation for Text-based Person Searching
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
Learning Granularity-Unified Representations for Text-to-Image Person Re-identification
From Data Deluge to Data Curation: A Filtering-WoRA Paradigm for Efficient Text-based Person Search
Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.