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Name: GZ
Type: User
Name: GZ
Type: User
Joint detection and tracking model named DEFT, or ``Detection Embeddings for Tracking." Our approach relies on an appearance-based object matching network jointly-learned with an underlying object detection network. An LSTM is also added to capture motion constraints.
Gaga: Group Any Gaussians via 3D-aware Memory Bank
Delving into Motion-Aware Matching for Monocular 3D Object Tracking (ICCV 2023)
PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
Official implementation of Monocular Quasi-Dense 3D Object Tracking, TPAMI 2022
Reason3D: Searching and Reasoning 3D Segmentation via Large Language Model
Weakly Supervised 3D Object Detection via Multi-Level Visual Guidance
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