SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?

No abstract is available for this paper.

• Publication year

  2017

• Venue

  IEEE International Conference on Computer Vision

• Publication date

  2017-10-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/ICCV.2017.292
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Joint 2D-3D-Semantic Data for Indoor Scene Understanding

  2017cited by this paper
• ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes

  2017cited by this paper
• UnrealCV: Connecting Computer Vision to Unreal Engine

  2016cited by this paper
• SceneNN: A Scene Meshes Dataset with aNNotations

  2016cited by this paper
• SemanticFusion: Dense 3D semantic mapping with convolutional neural networks

  2016cited by this paper
• The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes

  2016cited by this paper
• FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

  2016cited by this paper
• VirtualWorlds as Proxy for Multi-object Tracking Analysis

  2016cited by this paper
• Playing for Data: Ground Truth from Computer Games

  2016cited by this paper
• Procedural Generation of Videos to Train Deep Action Recognition Networks

  2016cited by this paper
• Domain Separation Networks

  2016cited by this paper
• Play and Learn: Using Video Games to Train Computer Vision Models

  2016cited by this paper
• Semantic Scene Completion from a Single Depth Image

  2016cited by this paper
• Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

  2016influential reference
• Aligning 3D models to RGB-D images of cluttered scenes

  2015cited by this paper
• ShapeNet: An Information-Rich 3D Model Repository

  2015cited by this paper
• U-Net: Convolutional Networks for Biomedical Image Segmentation

  2015influential reference
• Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

  2015cited by this paper
• SUN RGB-D: A RGB-D scene understanding benchmark suite

  2015cited by this paper
• FlowNet: Learning Optical Flow with Convolutional Networks

  2015cited by this paper
• Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

  2015cited by this paper
• Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models

  2014cited by this paper
• Learning Deep Object Detectors from 3D Models

  2014cited by this paper
• A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM

  2014cited by this paper
• Very Deep Convolutional Networks for Large-Scale Image Recognition

  2014cited by this paper
• Indoor Semantic Segmentation using depth information

  2013cited by this paper
• Progressive Photon Mapping on GPUs

  2013cited by this paper
• ImageNet classification with deep convolutional neural networks

  2012cited by this paper
• Real-Time Camera Tracking: When is High Frame-Rate Best?

  2012cited by this paper
• Indoor Segmentation and Support Inference from RGBD Images

  2012influential reference
• Torch7: A Matlab-like Environment for Machine Learning

  2011cited by this paper
• A practical guide to global illumination using photon mapping

  2000cited by this paper
• A practical guide to global illumination using photon mapping

  2000cited by this paper

• ZipMap: Linear-Time Stateful 3D Reconstruction with Test-Time Training

  2026cites this paper
• Depth Anything 3: Recovering the Visual Space from Any Views

  2025cites this paper
• A Hierarchical Indoor Spatial-Semantic Reasoning-Based Scene Graph Construction for Elderly-Centric Safety Warnings

  2025cites this paper
• Automated multimodel segmentation and tracking for AR-guided open liver surgery using scene-aware self-prompting

  2025cites this paper
• Nothing Stands Still: A spatiotemporal benchmark on 3D point cloud registration under large geometric and temporal change

  2025cites this paper
• Joint Deep-Unfolding Optimization Learning for Depth Map Arbitrary-Scale Super-Resolution

  2025cites this paper
• ROVR-Open-Dataset: A Large-Scale Depth Dataset for Autonomous Driving

  2025cites this paper
• NavComposer: Composing Language Instructions for Navigation Trajectories Through Action-Scene-Object Modularization

  2025cites this paper
• SLIM-VDB: A Real-Time 3D Probabilistic Semantic Mapping Framework

  2025cites this paper
• Domain Randomization for Object Detection: A Survey

  2025cites this paper
• A New Benchmark and Algorithm for Clothes-Changing Video Person Re-Identification

  2025cites this paper
• IndoorMS: A Multispectral Dataset for Semantic Segmentation in Indoor Scene Understanding

  2025cites this paper
• Delving Into Multi-Illumination Monocular Depth Estimation: A New Dataset and Method

  2025cites this paper
• STGlight: Online Indoor Lighting Estimation via Spatio-Temporal Gaussian Fusion

  2025cites this paper
• StructScan3D v1: A First RGB-D Dataset for Indoor Building Elements Segmentation and BIM Modeling

  2025cites this paper
• Help Me Through: Imitation Learning Based Active View Planning to Avoid SLAM Tracking Failures

  2025cites this paper
• Underwater Monocular Metric Depth Estimation: Real-World Benchmarks and Synthetic Fine-Tuning with Vision Foundation Models

  2025cites this paper
• Benchmarking Neural Radiance Fields for Autonomous Robots: An Overview

  2024cites this paper
• TSLAM: a tag-based object-centered monocular navigation system for augmented manual woodworking

  2024cites this paper
• D4D: An RGBD Diffusion Model to Boost Monocular Depth Estimation

  2024influential citation
• Deep learning for 3D object recognition: A survey

  2024cites this paper
• A Scale-space Approach for Surface Normal Vector Estimation from Depth Maps

  2024cites this paper
• Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?

  2024cites this paper
• SynerFill: A Synergistic RGB-D Image Inpainting Network via Fast Fourier Convolutions

  2024cites this paper
• A Comprehensive Study of Deep Learning Visual Odometry for Mobile Robot Localization in Indoor Environments

  2024cites this paper
• Leveraging self-supervised learning for scene classification in child sexual abuse imagery

  2024cites this paper
• Learning Depth Representation From RGB-D Videos by Time-Aware Contrastive Pre-Training

  2024cites this paper
• FIReStereo: Forest InfraRed Stereo Dataset for UAS Depth Perception in Visually Degraded Environments

  2024cites this paper
• RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics

  2024cites this paper
• A Comprehensive Survey on Data Augmentation

  2024cites this paper
• Standard Datasets for Autonomous Navigation and Mapping: A Full-Stack Construction Methodology

  2024cites this paper
• Infinigen Indoors: Photorealistic Indoor Scenes using Procedural Generation

  2024cites this paper
• Weakly Supervised Joint Transfer and Regression of Textures for 3-D Human Reconstruction

  2024cites this paper
• A Survey of Synthetic Data Augmentation Methods in Machine Vision

  2024cites this paper
• Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations

  2024cites this paper
• Leveraging Self-Supervised Learning for Scene Recognition in Child Sexual Abuse Imagery

  2024cites this paper
• GIM: Learning Generalizable Image Matcher From Internet Videos

  2024cites this paper
• A Survey of Indoor 3D Reconstruction Based on RGB-D Cameras

  2024cites this paper
• Image Retrieval Evaluation Metric for Songket Motif

  2024cites this paper
• Learning to Project for Cross-Task Knowledge Distillation

  2024cites this paper
• Image augmentation approaches for small and tiny object detection in aerial images: a review

  2024cites this paper
• EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial Awareness and Semantic Reasoning in Heterogeneous Environments

  2024cites this paper
• Test-Time Synthetic-to-Real Adaptive Depth Estimation

  2023cites this paper
• Estimating Generic 3D Room Structures from 2D Annotations

  2023cites this paper
• Ignorance is bliss: flawed assumptions in simulated ground truth

  2023cites this paper
• The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation

  2023cites this paper
• Increasing the Robustness of Deep Learning Models for Object Segmentation: A Framework for Blending Automatically Annotated Real and Synthetic Data

  2023cites this paper
• Enhancing Human–Robot Collaboration through a Multi-Module Interaction Framework with Sensor Fusion: Object Recognition, Verbal Communication, User of Interest Detection, Gesture and Gaze Recognition

  2023cites this paper
• Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans

  2023cites this paper
• Spatiotemporally Consistent HDR Indoor Lighting Estimation

  2023cites this paper
• Human Pose Estimation in Monocular Omnidirectional Top-View Images

  2023cites this paper
• Exploring the Potential of Neural Dataset Search

  2023cites this paper
• Hybrid synthetic data generation pipeline that outperforms real data

  2023cites this paper
• Review and analysis of synthetic dataset generation methods and techniques for application in computer vision

  2023influential citation
• On Domain-Specific Pre- Training for Effective Semantic Perception in Agricultural Robotics

  2023cites this paper
• DermSynth3D: Synthesis of in-the-wild Annotated Dermatology Images

  2023cites this paper
• Simulating City-Scale Aerial Data Collection Using Unreal Engine

  2023cites this paper
• RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation

  2023cites this paper
• Human-in-the-Loop Video Semantic Segmentation Auto-Annotation

  2023influential citation
• Infinite Photorealistic Worlds Using Procedural Generation

  2023cites this paper
• Zero-Shot Metric Depth with a Field-of-View Conditioned Diffusion Model

  2023cites this paper
• The Drunkard's Odometry: Estimating Camera Motion in Deforming Scenes

  2023cites this paper
• Impacts of Synthetically Generated Data on Trackformer-based Multi-Object Tracking

  2023cites this paper
• DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality

  2023cites this paper
• BS3D: Building-scale 3D Reconstruction from RGB-D Images

  2023cites this paper
• Deep-Learning-Based 3-D Surface Reconstruction—A Survey

  2023cites this paper
• The effect of simulation variety on a deep learning-based military vehicle detector

  2023cites this paper
• SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning

  2023cites this paper
• 2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision

  2023cites this paper
• Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification

  2023cites this paper
• Part-Guided 3D RL for Sim2Real Articulated Object Manipulation

  2023cites this paper
• Towards fully synthetic training of 3D indoor object detectors: Ablation study

  2023cites this paper
• A review of visual SLAM with dynamic objects

  2023cites this paper
• RPS-Net: Indoor Scene Point Cloud Completion using RBF-Point Sparse Convolution

  2023cites this paper
• Understanding the Influence of Rendering Parameters in Synthetic Datasets for Neural Semantic Segmentation Tasks

  2023cites this paper
• Learning Point-wise Abstaining Penalty for Point Cloud Anomaly Detection

  2023cites this paper
• A Survey on RGB-D Datasets

  2022cites this paper
• StandardSim: A Synthetic Dataset For Retail Environments

  2022cites this paper
• Scan2Part: Fine-grained and Hierarchical Part-level Understanding of Real-World 3D Scans

  2022cites this paper
• Application of Multi-modal Fusion Attention Mechanism in Semantic Segmentation

  2022cites this paper
• Sharing Decoders: Network Fission for Multi-task Pixel Prediction

  2022influential citation
• LISU: Low-light indoor scene understanding with joint learning of reflectance restoration

  2022cites this paper
• SemanticLoop: Loop Closure With 3D Semantic Graph Matching

  2022cites this paper
• A Benchmark of Video-Based Clothes-Changing Person Re-Identification

  2022cites this paper
• Reducing domain shift in synthetic data augmentation for semantic segmentation of 3D point clouds

  2022influential citation
• FSID: Fully Synthetic Image Denoising via Procedural Scene Generation

  2022cites this paper
• Evaluating a Synthetic Image Dataset Generated with Stable Diffusion

  2022cites this paper
• Meta-simulation for the Automated Design of Synthetic Overhead Imagery

  2022cites this paper
• ViViD++ : Vision for Visibility Dataset

  2022cites this paper
• Retrospectives on the Embodied AI Workshop

  2022cites this paper
• Link-RGBD: Cross-Guided Feature Fusion Network for RGBD Semantic Segmentation

  2022cites this paper
• Visual SLAM: What Are the Current Trends and What to Expect?

  2022cites this paper
• An efficient method for producing deep learning point cloud datasets based on BIM 3D model and computer simulation

  2022cites this paper
• Label-Free Synthetic Pretraining of Object Detectors

  2022influential citation
• On 3D Reconstruction Using RGB-D Cameras

  2022cites this paper
• Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels

  2022influential citation
• A3D: Studying Pretrained Representations with Programmable Datasets

  2022cites this paper
• Accurate Ground-Truth Depth Image Generation via Overfit Training of Point Cloud Registration using Local Frame Sets

  2022influential citation
• Detection of Household Furniture Storage Space in Depth Images

  2022cites this paper
• MONOCULAR DEPTH PREDICTION IN PHOTOGRAMMETRIC APPLICATIONS

  2022cites this paper