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Found 9 papers, 6 papers with code
Biological Valuation Map of Flanders: A Sentinel-2 Imagery Analysis
The synergy of machine learning and satellite imagery analysis has demonstrated significant productivity in this field, as evidenced by several studies.
Multimodal Distillation for Egocentric Action Recognition
The goal of this work is to retain the performance of such a multimodal approach, while using only the RGB frames as input at inference time.
Students taught by multimodal teachers are superior action recognizers
Our approach is based on multimodal knowledge distillation, featuring a multimodal teacher (in the current experiments trained only using object detections, optical flow and RGB frames) and a unimodal student (using only RGB frames as input).
Predicting Physical World Destinations for Commands Given to Self-Driving Cars
However, surveys have shown that giving more control to an AI in self-driving cars is accompanied by a degree of uneasiness by passengers.
Learning to ground medical text in a 3D human atlas
In this paper, we develop a method for grounding medical text into a physically meaningful and interpretable space corresponding to a human atlas.
Commands 4 Autonomous Vehicles (C4AV) Workshop Summary
In this work, we deviate from recent, popular task settings and consider the problem under an autonomous vehicle scenario.
Ranked #3 on
Referring Expression Comprehension
on Talk2Car
Self-supervised context-aware COVID-19 document exploration through atlas grounding
In this paper, we aim to develop a self-supervised grounding of Covid-related medical text based on the actual spatial relationships between the referred anatomical concepts.
A Baseline for the Commands For Autonomous Vehicles Challenge
The Commands For Autonomous Vehicles (C4AV) challenge requires participants to solve an object referral task in a real-world setting.
Talk2Car: Taking Control of Your Self-Driving Car
Or more specifically, we consider the problem in an autonomous driving setting, where a passenger requests an action that can be associated with an object found in a street scene.
