https://github.com/BoseungJeong/ASMR-ICCV-2021
공식 코드ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Person Search is a task which aims at matching a specific person among a great number of whole scene images.
Source: Re-ID Driven Localization Refinement for Person Search
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer
Text-based Person Search in Full Images via Semantic-Driven Proposal Generation
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language
TIPCB: A Simple but Effective Part-based Convolutional Baseline for Text-based Person Search
Joint Detection and Identification Feature Learning for Person Search
Color inference from semantic labeling for person search in videos
Learning Transferable Pedestrian Representation from Multimodal Information Supervision
Domain Adaptive Person Search via GAN-based Scene Synthesis for Cross-scene Videos
OIMNet++: Prototypical Normalization and Localization-aware Learning for Person Search
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
Person Search in Videos with One Portrait Through Visual and Temporal Links
Deep Intra-Image Contrastive Learning for Weakly Supervised One-Step Person Search
Exploring Visual Context for Weakly Supervised Person Search
Asymmetric Cross-Scale Alignment for Text-Based Person Search
PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search
Learning Semantic-Aligned Feature Representation for Text-based Person Search
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.