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Multiview Detection
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Incorporating multiple camera views for detection in heavily occluded scenarios.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
Lifting Multi-View Detection and Tracking to the Bird's Eye View
EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View
Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case
Multi-view Tracking Using Weakly Supervised Human Motion Prediction
Booster-SHOT: Boosting Stacked Homography Transformations for Multiview Pedestrian Detection with Attention
3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization
Multiview Detection with Cardboard Human Modeling
Voxelized 3D Feature Aggregation for Multiview Detection
Bringing Generalization to Deep Multi-View Pedestrian Detection
MVM3Det: A Novel Method for Multi-view Monocular 3D Detection
Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
RGB-D Railway Platform Monitoring and Scene Understanding for Enhanced Passenger Safety
Multiview Detection with Feature Perspective Transformation
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.