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Depth Prediction

Papers

Showing 151–175 of 422 papers

TitleStatusHype
Deep Planar Parallax for Monocular Depth Estimation—0
Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera—0
Guiding Local Feature Matching with Surface Curvature—0
Objects as Spatio-Temporal 2.5D points—0
Geometry-Aware Network for Domain Adaptive Semantic Segmentation—0
BEVUDA: Multi-geometric Space Alignments for Domain Adaptive BEV 3D Object Detection—0
How do Cross-View and Cross-Modal Alignment Affect Representations in Contrastive Learning?—0
MSS-DepthNet: Depth Prediction with Multi-Step Spiking Neural Network—0
AeDet: Azimuth-invariant Multi-view 3D Object DetectionCode1
DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion—0
Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation—0
BEVDistill: Cross-Modal BEV Distillation for Multi-View 3D Object DetectionCode1
Multi-Camera Calibration Free BEV Representation for 3D Object Detection—0
Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision—0
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies—0
CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View CompletionCode2
Attention Attention Everywhere: Monocular Depth Prediction with Skip AttentionCode1
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation—0
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense PredictionCode0
Map-free Visual Relocalization: Metric Pose Relative to a Single ImageCode2
Frequency-Aware Self-Supervised Monocular Depth EstimationCode1
Depth Is All You Need for Monocular 3D Detection—0
Multi-Camera Collaborative Depth Prediction via Consistent Structure Estimation—0
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening ProblemCode1
Contrastive Unsupervised Learning of World Model with Invariant Causal Features—0
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