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Found 7 papers, 2 papers with code
DISGO: Automatic End-to-End Evaluation for Scene Text OCR
This paper discusses the challenges of optical character recognition (OCR) on natural scenes, which is harder than OCR on documents due to the wild content and various image backgrounds.
Episodic Memory Question Answering
Towards that end, we introduce (1) a new task - Episodic Memory Question Answering (EMQA) wherein an egocentric AI assistant is provided with a video sequence (the tour) and a question as an input and is asked to localize its answer to the question within the tour, (2) a dataset of grounded questions designed to probe the agent's spatio-temporal understanding of the tour, and (3) a model for the task that encodes the scene as an allocentric, top-down semantic feature map and grounds the question into the map to localize the answer.
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
This enables a seamless adaption to changing dynamics (a different robot or floor type) by simply re-calibrating the visual odometry model -- circumventing the expense of re-training of the navigation policy.
Ranked #5 on
Robot Navigation
on Habitat 2020 Point Nav test-std
Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
To help bridge the gap between internet vision-style problems and the goal of vision for embodied perception we instantiate a large-scale navigation task -- Embodied Question Answering [1] in photo-realistic environments (Matterport 3D).
Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment
We propose a novel end-to-end model that uses caption-to-image retrieval as a `downstream' task to guide the process of phrase localization.
Unsupervised Learning of Face Representations
Although faces extracted from videos have a lower spatial resolution than those which are available as part of standard supervised face datasets such as LFW and CASIA-WebFace, the former represent a much more realistic setting, e. g. in surveillance scenarios where most of the faces detected are very small.
Embodied Question Answering
We present a new AI task -- Embodied Question Answering (EmbodiedQA) -- where an agent is spawned at a random location in a 3D environment and asked a question ("What color is the car?").
