Multiview Detection
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Benchmarks
Most implemented
Multiview Detection with Feature Perspective Transformation
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection
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
Papers
Unmasking Facial DeepFakes: A Robust Multiview Detection Framework for Natural Images
DeepFake technology has advanced significantly in recent years, enabling the creation of highly realistic synthetic face images. Existing DeepFake detection methods often struggle with pose variations, occlusions, and ar…
Multiview DetectionDeepFake DetectionDCHM: Depth-Consistent Human Modeling for Multiview Detection
Multiview pedestrian detection typically involves two stages: human modeling and pedestrian localization. Human modeling represents pedestrians in 3D space by fusing multiview information, making its quality crucial for …
Pedestrian DetectionMultiview DetectionDepth EstimationPoint CloudsResource-Efficient Multiview Perception: Integrating Semantic Masking with Masked Autoencoders
Multiview systems have become a key technology in modern computer vision, offering advanced capabilities in scene understanding and analysis. However, these systems face critical challenges in bandwidth limitations and c…
Multiview DetectionScene UnderstandingMahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
Multi-view crowd localization predicts the ground locations of all people in the scene. Typical methods usually estimate the crowd density maps on the ground plane first, and then obtain the crowd locations. However, the…
Multiview DetectionMulti-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
Recent deep learning-based multi-view people detection (MVD) methods have shown promising results on existing datasets. However, current methods are mainly trained and evaluated on small, single scenes with a limited num…
Camera CalibrationDomain AdaptationMultiview DetectionLifting Multi-View Detection and Tracking to the Bird's Eye View
Taking advantage of multi-view aggregation presents a promising solution to tackle challenges such as occlusion and missed detection in multi-object tracking and detection. Recent advancements in multi-view detection and…
3D Object RecognitionMulti-Object Trackingmulti-view detectionMultiview Detection+2