DualViewMapDet fuses prior-traversal point cloud maps into camera features via dual perspective-view and bird's-eye-view encoding to improve 3D detection and tracking without LiDAR.
Deep residual learning for image recognition
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CV 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
AttDiff-GAN decouples attribute manipulation via feature-level adversarial learning and guides diffusion generation with the edited features, plus PriorMapper and RefineExtractor modules, to achieve more accurate edits and better non-target preservation on CelebA-HQ.
citing papers explorer
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Leveraging Previous-Traversal Point Cloud Map Priors for Camera-Based 3D Object Detection and Tracking
DualViewMapDet fuses prior-traversal point cloud maps into camera features via dual perspective-view and bird's-eye-view encoding to improve 3D detection and tracking without LiDAR.
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AttDiff-GAN: A Hybrid Diffusion-GAN Framework for Facial Attribute Editing
AttDiff-GAN decouples attribute manipulation via feature-level adversarial learning and guides diffusion generation with the edited features, plus PriorMapper and RefineExtractor modules, to achieve more accurate edits and better non-target preservation on CelebA-HQ.