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Found 6 papers, 2 papers with code
What's Different between Visual Question Answering for Machine "Understanding" Versus for Accessibility?
We aim to answer this question by evaluating discrepancies between machine "understanding" datasets (VQA-v2) and accessibility datasets (VizWiz) by evaluating a variety of VQA models.
Blind Users Accessing Their Training Images in Teachable Object Recognizers
We explore how blind participants (N=12) interact with MyCam and the descriptors through an evaluation study in their homes.
Pedestrian Detection with Wearable Cameras for the Blind: A Two-way Perspective
Blind people have limited access to information about their surroundings, which is important for ensuring one's safety, managing social interactions, and identifying approaching pedestrians.
Hand-Priming in Object Localization for Assistive Egocentric Vision
Egocentric vision holds great promises for increasing access to visual information and improving the quality of life for people with visual impairments, with object recognition being one of the daily challenges for this population.
Crowdsourcing the Perception of Machine Teaching
Teachable interfaces can empower end-users to attune machine learning systems to their idiosyncratic characteristics and environment by explicitly providing pertinent training examples.
Texture Synthesis with Recurrent Variational Auto-Encoder
A novel loss function, FLTBNK, is used for training the texture synthesizer.
