Direct uncertainty prediction for medical second opinions
The issue of disagreements amongst human experts is a ubiquitous one in both machine
learning and medicine. In medicine, this often corresponds to doctor disagreements on a …
learning and medicine. In medicine, this often corresponds to doctor disagreements on a …
Vizwiz-priv: A dataset for recognizing the presence and purpose of private visual information in images taken by blind people
We introduce the first visual privacy dataset originating from people who are blind in order to
better understand their privacy disclosures and to encourage the development of algorithms …
better understand their privacy disclosures and to encourage the development of algorithms …
Why does a visual question have different answers?
Visual question answering is the task of returning the answer to a question about an image.
A challenge is that different people often provide different answers to the same visual …
A challenge is that different people often provide different answers to the same visual …
A review of judgment analysis algorithms for crowdsourced opinions
S Chatterjee, A Mukhopadhyay… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The crowd-powered systems have been shown to be highly successful in the current decade
to manage collective contribution of online workers for solving different complex tasks. It can …
to manage collective contribution of online workers for solving different complex tasks. It can …
Vizwiz-fewshot: Locating objects in images taken by people with visual impairments
We introduce a few-shot localization dataset originating from photographers who
authentically were trying to learn about the visual content in the images they took. It includes …
authentically were trying to learn about the visual content in the images they took. It includes …
Machine learning from crowds: A systematic review of its applications
E G. Rodrigo, JA Aledo… - … Reviews: Data Mining and …, 2019 - Wiley Online Library
Crowdsourcing opens the door to solving a wide variety of problems that previously were
unfeasible in the field of machine learning, allowing us to obtain relatively low cost labeled …
unfeasible in the field of machine learning, allowing us to obtain relatively low cost labeled …
Pixel objectness: learning to segment generic objects automatically in images and videos
We propose an end-to-end learning framework for segmenting generic objects in both
images and videos. Given a novel image or video, our approach produces a pixel-level …
images and videos. Given a novel image or video, our approach produces a pixel-level …
Vision skills needed to answer visual questions
The task of answering questions about images has garnered attention as a practical service
for assisting populations with visual impairments as well as a visual Turing test for the …
for assisting populations with visual impairments as well as a visual Turing test for the …
Salient object detection for images taken by people with vision impairments
J Reynolds, CK Nagesh… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Salient object detection is the task of producing a binary mask for an image that deciphers
which pixels belong to the foreground object versus background. We introduce a new salient …
which pixels belong to the foreground object versus background. We introduce a new salient …
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments
Individuals who are blind or have low vision (BLV) are at a heightened risk of sharing private
information if they share photographs they have taken. To facilitate developing technologies …
information if they share photographs they have taken. To facilitate developing technologies …