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Found 3 papers, 2 papers with code
Self-Supervised Super-Plane for Neural 3D Reconstruction
In this work, we introduce a self-supervised super-plane constraint by exploring the free geometry cues from the predicted surface, which can further regularize the reconstruction of plane regions without any other ground truth annotations.
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream Framework
The current popular two-stream, two-stage tracking framework extracts the template and the search region features separately and then performs relation modeling, thus the extracted features lack the awareness of the target and have limited target-background discriminability.
Ranked #4 on
Visual Object Tracking
on UAV123
Exploring Geometric Consistency for Monocular 3D Object Detection
In addition, we demonstrate that the augmentation methods are well suited for semi-supervised training and cross-dataset generalization.
