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https://www.mdpi.com/1424-8220/23/17/7466 Semantic Segmentation and Depth Estimation Based on Residual Attention Mechanism Semantic segmentation and depth estimation are crucial components in the field of autonomous driving for scene understanding. Jointly learning these tasks can... semantic segmentation depth estimation based residual attention https://openreview.net/forum?id=I6DLxqk9J0A&referrer=%5Bthe%20profile%20of%20Yuedong%20Yang%5D(%2Fprofile%3Fid%3D~Yuedong_Yang2) Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices |... Depth estimation is a safety critical and energy sensitive method for environment sensing. However, in real applications, the depth estimation may be halted at... depth estimation https://www.mdpi.com/1424-8220/21/18/6061 Depth Estimation from Light Field Geometry Using Convolutional Neural Networks Depth estimation based on light field imaging is a new methodology that has succeeded the traditional binocular stereo matching and depth from monocular... depth estimation light field geometry using neural https://arxiv.org/abs/2301.08157v1 [2301.08157v1] SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for... Abstract page for arXiv paper 2301.08157v1: SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for Colonoscopy Endorobots monocular depth estimation 2301 symbiotic https://openreview.net/forum?id=P6WlypBUkP&referrer=%5Bthe%20profile%20of%20Yannick%20Verdie%5D(%2Fprofile%3Fid%3D~Yannick_Verdie3) CroMo: Cross-Modal Learning for Monocular Depth Estimation | OpenReview Learning-based depth estimation has witnessed recent progress in multiple directions; from self-supervision using monocular video to supervised methods... monocular depth estimation learning for cromo cross modal https://arxiv.org/abs/1912.12874 [1912.12874] Video Depth Estimation by Fusing Flow-to-Depth Proposals Abstract page for arXiv paper 1912.12874: Video Depth Estimation by Fusing Flow-to-Depth Proposals depth estimation 1912 12874 video fusing https://openreview.net/forum?id=yjcXA6QC11&referrer=%5Bthe%20profile%20of%20Joonsoo%20Kim%5D(%2Fprofile%3Fid%3D~Joonsoo_Kim2) CMVDE: Consistent Multi-View Video Depth Estimation via Geometric-Temporal Coupling Approach |... In the field of video depth estimation, significant strides have been made with deep learning-based multi-view stereo approaches. However, existing studies... multi view depth estimation https://huggingface.co/spaces/z-uo/monocular_depth_estimation Monocular depth estimation - a Hugging Face Space by z-uo Discover amazing ML apps made by the community monocular depth estimation hugging face by z space uo https://deepai.org/publication/3d-endoscopic-depth-estimation-using-3d-surface-aware-constraints 3D endoscopic depth estimation using 3D surface-aware constraints | DeepAI Mar 4, 2022 - 03/04/22 - Robotic-assisted surgery allows surgeons to conduct precise surgical operations with stereo vision and flexible motor control. How... depth estimation 3d endoscopic using surface https://www.amazon.science/publications/depth-estimation-through-translucent-surfaces Depth estimation through translucent surfaces - Amazon Science In this paper, we tackle the novel computer vision problem of depth estimation through a translucent barrier. This is an important problem for robotics when... depth estimation translucent surfaces amazon science https://huggingface.co/tasks/depth-estimation What is Depth Estimation? - Hugging Face Learn about Depth Estimation using Machine Learning what is depth estimation hugging face https://deepai.org/publication/smudlp-self-teaching-multi-frame-unsupervised-endoscopic-depth-estimation-with-learnable-patchmatch SMUDLP: Self-Teaching Multi-Frame Unsupervised Endoscopic Depth Estimation with Learnable... May 30, 2022 - 05/30/22 - Unsupervised monocular trained depth estimation models make use of adjacent frames as a supervisory signal during the training pha... self teaching depth estimation multi frame https://www.mdpi.com/2076-3417/13/10/6319 Monocular Depth Estimation Using Res-UNet with an Attention Model Depth maps are single image metrics that carry the information of a scene in three-dimensional axes. Accurate depth maps can recreate the 3D structure of a... monocular depth estimation using res unet attention https://deepai.org/publication/nddepth-normal-distance-assisted-monocular-depth-estimation NDDepth: Normal-Distance Assisted Monocular Depth Estimation | DeepAI Sep 19, 2023 - 09/19/23 - Monocular depth estimation has drawn widespread attention from the vision community due to its broad applications. In this paper, ... monocular depth estimation normal distance assisted deepai https://deepai.org/publication/deep-robust-single-image-depth-estimation-neural-network-using-scene-understanding Deep Robust Single Image Depth Estimation Neural Network Using Scene Understanding | DeepAI Jun 7, 2019 - 06/07/19 - Single image depth estimation (SIDE) plays a crucial role in 3D computer vision. In this paper, we propose a two-stage robust SIDE... single image depth estimation https://arxiv.org/abs/2502.20110 [2502.20110] UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler Abstract page for arXiv paper 2502.20110: UniDepthV2: Universal Monocular Metric Depth Estimation Made Simpler depth estimation 2502 20110 universal monocular https://deepai.org/publication/unsupervised-learning-of-monocular-depth-estimation-and-visual-odometry-with-deep-feature-reconstruction Unsupervised Learning of Monocular Depth Estimation and Visual Odometry with Deep Feature... Mar 11, 2018 - 03/11/18 - Despite learning based methods showing promising results in single view depth estimation and visual odometry, most existing approa... monocular depth estimation unsupervised learning https://openreview.net/forum?id=sF-F1wH4f-I&referrer=%5Bthe%20profile%20of%20Yannick%20Verdie%5D(%2Fprofile%3Fid%3D~Yannick_Verdie3) CroMo: Cross-Modal Learning for Monocular Depth Estimation | OpenReview Learning-based depth estimation has witnessed recent progress in multiple directions; from self-supervision using monocular video to supervised methods... monocular depth estimation learning for cromo cross modal https://arxiv.org/abs/2307.15052v1 [2307.15052v1] Learning Depth Estimation for Transparent and Mirror Surfaces Abstract page for arXiv paper 2307.15052v1: Learning Depth Estimation for Transparent and Mirror Surfaces depth estimation 2307 learning transparent mirror https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2023.1212525/full Frontiers | Self-supervised monocular depth estimation for high field of view colonoscopy cameras Optical colonoscopy is the gold standard procedure to detect colorectal cancer, the fourth most common cancer in the United Kingdom. Up to 22-28% of polyps c... monocular depth estimation https://deepai.org/publication/mtstereo-2-0-improved-accuracy-of-stereo-depth-estimation-withmax-trees MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees | DeepAI Jun 27, 2020 - 06/27/20 - Efficient yet accurate extraction of depth from stereo image pairs is required by systems with low power resources, such as roboti... stereo depth estimation 2 0 https://openreview.net/forum?id=qfIEFZUulO&referrer=%5Bthe%20profile%20of%20Antonis%20Argyros%5D(%2Fprofile%3Fid%3D~Antonis_Argyros1) D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation | OpenReview We present D-PoSE (Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation), a one-stage method that estimates human pose and SMPL-X... https://openreview.net/forum?id=yRuJqoWoCs $SE(3)$ Equivariant Ray Embeddings for Implicit Multi-View Depth Estimation | OpenReview Incorporating inductive bias by embedding geometric entities (such as rays) as input has proven successful in multi-view learning. However, the methods... se 3 https://www.mdpi.com/1424-8220/22/23/9483 A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow Estimation Computer vision tasks, such as motion estimation, depth estimation, object detection, etc., are better suited to light field images with more structural... https://openreview.net/forum?id=X2cmDAjprN Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial... We present ANYU, a new virtually augmented version of the NYU depth v2 dataset, designed for monocular depth estimation. In contrast to the well-known approach... https://deepai.org/publication/efficient-convolutional-neural-networks-for-depth-based-multi-person-pose-estimation Efficient Convolutional Neural Networks for Depth-Based Multi-Person Pose Estimation | DeepAI Dec 2, 2019 - 12/02/19 - Achieving robust multi-person 2D body landmark localization and pose estimation is essential for human behavior and interaction un... convolutional neural networks https://arxiv.org/abs/2506.10083 [2506.10083] Bayesian luminosity function estimation in multi-depth datasets with selection... luminosity function https://www.analyticsvidhya.com/blog/2024/04/building-a-modern-app-with-tiktoks-depth-anything-depth-estimation-model/ Modern App with TikTok's "Depth Anything" Depth Estimation Model Apr 22, 2024 - Unlock creativity: Modern app development with TikTok's 'Depth Anything' depth estimation model for immersive experiences. modern app with tiktok depth anything estimation https://arxiv.org/abs/2102.06685 [2102.06685] Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation... Abstract page for arXiv paper 2102.06685: Learning Depth via Leveraging Semantics: Self-supervised Monocular Depth Estimation with Both Implicit and Explicit... self supervised 2102 06685 learning depth https://openreview.net/forum?id=reqF08spwl FiffDepth: Feed-forward Transformation of Diffusion-Based Generators for Detailed Depth Estimation... Monocular Depth Estimation (MDE) is a fundamental 3D vision problem with numerous applications such as 3D scene reconstruction, autonomous navigation, and AI... feed forward https://arxiv.org/abs/2312.02145v2 [2312.02145v2] Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation Abstract page for arXiv paper 2312.02145v2: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation image generators 2312 repurposing diffusion based https://openreview.net/forum?id=DDk7fFXHZU Efficient Fine-Tuning of Image-Conditional Diffusion Models for Depth and Surface Normal Estimation... Recent work showed that large diffusion models can be reused as highly precise monocular depth estimators by casting depth estimation as an image-conditional... https://arxiv.org/abs/2603.05475 [2603.05475] Low-depth amplitude estimation via statistical eigengap estimation Abstract page for arXiv paper 2603.05475: Low-depth amplitude estimation via statistical eigengap estimation 2603 05475 low depth amplitude https://huggingface.co/papers/2602.16915 Paper page - StereoAdapter-2: Globally Structure-Consistent Underwater Stereo Depth Estimation Join the discussion on this paper page paper 2 globally https://deepai.org/publication/real-time-convolutional-networks-for-depth-based-human-pose-estimation Real-time Convolutional Networks for Depth-based Human Pose Estimation | DeepAI Oct 30, 2019 - 10/30/19 - We propose to combine recent Convolutional Neural Networks (CNN) models with depth imaging to obtain a reliable and fast multi-per... human pose estimation real time networks https://www.mdpi.com/1424-8220/20/21/6188 Depth Estimation for Light-Field Images Using Stereo Matching and Convolutional Neural Networks The paper presents a novel depth-estimation method for light-field (LF) images based on innovative multi-stereo matching and machine-learning techniques. In... https://deepai.org/publication/p-2net-patch-match-and-plane-regularization-for-unsupervised-indoor-depth-estimation P^2Net: Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation | DeepAI Jul 15, 2020 - 07/15/20 - This paper tackles the unsupervised depth estimation task in indoor environments. The task is extremely challenging because of the... https://www.mdpi.com/1424-8220/21/20/6780 DCPNet: A Densely Connected Pyramid Network for Monocular Depth Estimation Pyramid architecture is a useful strategy to fuse multi-scale features in deep monocular depth estimation approaches. However, most pyramid networks fuse... connected pyramid network monocular depth https://arxiv.org/abs/2210.05479 [2210.05479] Frequency-Aware Self-Supervised Monocular Depth Estimation Abstract page for arXiv paper 2210.05479: Frequency-Aware Self-Supervised Monocular Depth Estimation self supervised 2210 05479 frequency aware https://arxiv.org/html/2503.11633v2 Seeing and Seeing Through the Glass: Real and Synthetic Data for Multi-Layer Depth Estimation through the glass https://www.growkudos.com/publications/10.1190%25252F1.3255899/reader Location and depth estimation of step-like structures (e.g. contacts or faults) using gravity data... Euler deconvolution has long been applied to magnetic (and sometimes gravity) interpretation. The step model presents unique problems which are discussed fully... https://www.ti.com/video/6306623162112 Process This: Efficient stereo depth estimation and 3D perception for spatial AI applications |... In this webinar, learn how to incorporate 3D computer vision techniques into your embedded application using TDA4x processors. stereo depth estimation https://arxiv.org/abs/1909.04325 [1909.04325] Robust Multivariate Estimation Based On Statistical Depth Filters Abstract page for arXiv paper 1909.04325: Robust Multivariate Estimation Based On Statistical Depth Filters based on 1909 04325 robust multivariate https://www.atlantis-press.com/proceedings/cnci-19/125906903 A General Means for Depth Data Error Estimation of Depth Sensors | Atlantis Press At present the depth error estimation of the RGB-D sensor is aimed at a specific depth camera, the disadvantages of these methods is that it is put forword for... https://www.mdpi.com/1424-8220/22/16/6291 EPI Light Field Depth Estimation Based on a Directional Relationship Model and Multiviewpoint... Light field (LF) image depth estimation is a critical technique for LF-related applications such as 3D reconstruction, target detection, and tracking. The...