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- Specs on Faces dataset (SoF) comprises 2,662 original images of size 640 × 480 pixels for 112 persons (66 males and 46 females) from different ages. The glasses are the common natural occlusion in all images of the dataset. This original set of images consists of two parts:
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- In additional to the aforementioned variations, the sequences were presented with continuous occlusion. This phenomenon presents challenges in identidy tracking and face verification. This dataset can be applied, but not limited, to the following research areas:
- form a large-scale amodal instance dataset, namely KINS. The dataset is split into two parts where 7;474 images are for training and the other 7;517 are for testing. All images are densely annotated with instances by three skilled an-notators. The annotation includes amodal instance masks, semantic labels and relative occlusion order, from ...
- Therefore, we introduce this database of face images acquired simultaneously in visible and thermal spectra under various variations: illumination, expression, pose and occlusion. ACQUISITION PROCESS The presented database was acquired with a newly developed dual sensor, visible and thermal, camera FLIR Duo R by FLIR Systems.
- standard face detection benchmarks such as FDDB [5]. Finally, to illustrate the impact of occlusion on existing detection models, we evaluate performance on a new face detection dataset that contains significant numbers of par-tially occluded faces (Section5.3). 2 RELATED WORK Face Detection and Localization: There is a long history
- CUHK occlusion data set is for research on activity analysis and crowded scenes. This dataset contains 1063 images with occluded pedestrians from the datasets of Caltech [1], ETHZ [2], TUD-Brussels [3], INRIA [4], Caviar[5] and images collected by us. It is divided into 10 clips and can be downloaded from the following links.
- Nov 23, 2018 · In spite of its superior performance in face alignment, heatmap regression method has a few drawbacks in nature, such as do not follow shape constraint and sensitivity to partial occlusions. In this paper, we proposed a score-guided face alignment network that simultaneously outputs a heatmap and corresponding score map for each landmark.
- In a 14-year dataset yielding 10 million face images from 23 individuals over 50 hours of footage, we obtained an overall accuracy of 92.5% for identity recognition and 96.2% for sex recognition. Using the identified faces, we generated co-occurrence matrices to trace changes in the social network structure of an aging population.
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- The purpose is to make effort towards benchmarking lightweight facial landmark localization, which enables efficient system deployment. Different to the 1st challenge, the challenging dataset contains more than 24,000 images with larger variations in identity, pose, expression and occlusion.
- Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency Jiaxiang Shang 1[00000001 7161 9765], Tianwei Shen 0002 3290 2258], Shiwei li 1[0000 00030712 0059], Lei Zhou 4988 5084]
- In additional to the aforementioned variations, the sequences were presented with continuous occlusion. This phenomenon presents challenges in identidy tracking and face verification. This dataset can be applied, but not limited, to the following research areas:
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ICCV 10579-10588 2019 Conference and Workshop Papers conf/iccv/0001KOL019 10.1109/ICCV.2019.01068 https://doi.org/10.1109/ICCV.2019.01068 https://dblp.org/rec/conf ...
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Video Dataset for Occlusion/Object Boundary Detection This dataset of short video clips was developed and used for the following publications, as part of our continued research on detecting boundaries for segmentation and recognition.Please reference one or more of them (at least the IJCV article) if you use this dataset.image-based face recognition is the availability of large-scale datasets of labeled face images collected from the web [40]. Thus, one source of difficulty for video face recognition is attributable to the lack of similar large-scale labeled datasets. The number of images used to train the state-of-the-art face
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The dataset consists of 1000 depth images of partially occluded people. The dataset is recorded using the Kinect 2 sensor in different indoor environments, offices and living rooms, and consists of seven different subjects in different sitting and standing poses from different viewpoints. Description WIDER FACE dataset is a face detection benchmark dataset, of which images are selected from the publicly available WIDER dataset. We choose 32,203 images and label 393,703 faces with a high degree of variability in scale, pose and occlusion as depicted in the sample images. WIDER FACE dataset is organized based on 61 event classes.
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Sep 25, 2020 · Background Data regarding vascular access device use and outcomes are limited. In part, this gap reflects the absence of guidance on what variables should be collected to assess patient outcomes. We sought to derive international consensus on a vascular access minimum dataset. Methods A modified Delphi study with three rounds (two electronic surveys and a face-to-face consensus panel) was ... Jun 27, 2017 · The crowedFaces and CrowedNonFaces datasets include faces and non-faces images from crowed scenes. These datasets essentially aim for researchers to provide a large number of training examples with many variations for large scale face learning and face recognition tasks.
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Overview. Depending on the data type, the PANDA dataset is split into 2 sub-sets: PANDA-Image and PANDA-Video.Among them, PANDA-Image is composed of 555 static giga-pixel images (390 for training, 165 for testing), and PANDA-Video is composed of 15 giga-pixel video sequences (10 videos for training, 5 videos for testing).
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CUHK occlusion data set is for research on activity analysis and crowded scenes. This dataset contains 1063 images with occluded pedestrians from the datasets of Caltech [1], ETHZ [2], TUD-Brussels [3], INRIA [4], Caviar[5] and images collected by us. It is divided into 10 clips and can be downloaded from the following links. Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency Jiaxiang Shang 1[00000001 7161 9765], Tianwei Shen 0002 3290 2258], Shiwei li 1[0000 00030712 0059], Lei Zhou 4988 5084] May 07, 2020 · Introduction. Stroke remains a common affliction and is associated with significant morbidity and mortality. It is a leading cause of serious long-term disability; the direct and indirect costs of stroke were $45.5 billion between 2014 to 2015 in the United States.1 Large vessel occlusion (LVO) accounts for nearly half of the patients with acute ischemic stroke (AIS) presenting to tertiary ...
Jun 12, 2009 · Caltech Pedestrian Japan Dataset: Similar to the Caltech Pedestrian Dataset (both in magnitude and annotation), except video was collected in Japan. We cannot release this data, however, we will benchmark results to give a secondary evaluation of various detectors.
Training datasets Test datasets Calibration datasets Synthetic datasets. We provide a Python script to enable downloading the desired part(s) of the dataset comfortably (except for the synthetic datasets, which are not a part of the benchmark): download_eth3d_slam_datasets.py.
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