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Found 8 papers, 0 papers with code
Parameter Hierarchical Optimization for Visible-Infrared Person Re-Identification
Importantly, in the alignment process of SAS and AAL, all the parameters are immediately optimized with optimization principles rather than training the whole network, which yields a better parameter training manner.
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation
In this paper, we propose a novel video depth estimation approach, FutureDepth, which enables the model to implicitly leverage multi-frame and motion cues to improve depth estimation by making it learn to predict the future at training.
Ranked #1 on
Monocular Depth Estimation
on KITTI Eigen split
DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions
Leveraging the initial depths and features from this network, we uplift the 2D features to form a 3D point cloud and construct a 3D point transformer to process it, allowing the model to explicitly learn and exploit 3D geometric features.
Causal Disentanglement for Regulating Social Influence Bias in Social Recommendation
Building upon this insight, we propose a disentangled encoder that focuses on disentangling user and item embeddings into interest and social influence embeddings.
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
We propose MAMo, a novel memory and attention frame-work for monocular video depth estimation.
Ranked #11 on
Monocular Depth Estimation
on KITTI Eigen split
EGA-Depth: Efficient Guided Attention for Self-Supervised Multi-Camera Depth Estimation
the number of views and frames.
Self-Supervised Learning of Depth and Ego-motion with Differentiable Bundle Adjustment
Learning to predict scene depth and camera motion from RGB inputs only is a challenging task.
Structure-Attentioned Memory Network for Monocular Depth Estimation
To this end, we introduce a new Structure-Oriented Memory (SOM) module to learn and memorize the structure-specific information between RGB image domain and the depth domain.
Ranked #47 on
Monocular Depth Estimation
on KITTI Eigen split
