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LSUN Dining Room
LSUN Dining Room dataset is a subset of the LSUN dataset, with 657,571 images. -
MIT Scene Parsing Dataset
The MIT scene parsing dataset used for training the FCN network. -
Places dataset
The Places dataset is a large-scale dataset for scene recognition, containing 1 million images from 365 categories. -
RefCOCO dataset
The authors used the RefCOCO dataset, a large-scale dataset for object detection and scene understanding, to train and evaluate their models. -
Pyramid scene parsing network
Pyramid scene parsing network for semantic segmentation. -
ImageNet: A Large-Scale Hierarchical Image Database
The ImageNet dataset is a large-scale image database that contains over 14 million images, each labeled with one of 21,841 categories. -
SUN2012 Dataset
The SUN2012 dataset is a challenging dataset for object detection, with large cluttered scenes and small objects. -
ADE-20k Dataset
The ADE-20k dataset, which is a benchmark for semantic understanding of scenes. -
ScanNetv2, ScanNet200, and Replica
ScanNetv2, ScanNet200, and Replica datasets for 3D instance segmentation -
SUN3D Dataset
The SUN3D dataset is a benchmark for 3D matching tasks. It contains 15,000 3D models with RGB-D data. -
7-scenes Dataset
The 7-scenes dataset is a benchmark for 3D matching tasks. It contains 7 different scenes with RGB-D data. -
3DMatch Benchmark
The 3DMatch dataset is a benchmark for 3D matching tasks. It contains 62 different real-world scenes retrieved from various datasets. -
Indoor Segmentation and Support Inference from RGB-D Images
Indoor segmentation and support inference from RGB-D images. -
SUN RGB-D dataset
The SUN RGB-D dataset includes 10335 RGB-D captures. The dataset was captured from different RGB-D sensors including Asus Xtion, RealSense, Kinect v1 and Kinect v2. Following... -
Replica dataset
The Replica dataset provides real-world scenes which we use to evaluate and compare our approach with related work. The dataset consists of high quality 3D reconstructions of 5...
