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Found 5 papers, 4 papers with code
ReViVD: Exploration and Filtering of Trajectories in an Immersive Environment using 3D Shapes
We present ReViVD, a tool for exploring and filtering large trajectory-based datasets using virtual reality.
SIM2REALVIZ: Visualizing the Sim2Real Gap in Robot Ego-Pose Estimation
The Robotics community has started to heavily rely on increasingly realistic 3D simulators for large-scale training of robots on massive amounts of data.
How Transferable are Reasoning Patterns in VQA?
Since its inception, Visual Question Answering (VQA) is notoriously known as a task, where models are prone to exploit biases in datasets to find shortcuts instead of performing high-level reasoning.
VisQA: X-raying Vision and Language Reasoning in Transformers
First, as a result of a collaboration of three fields, machine learning, vision and language reasoning, and data analytics, the work lead to a better understanding of bias exploitation of neural models for VQA, which eventually resulted in an impact on its design and training through the proposition of a method for the transfer of reasoning patterns from an oracle model.
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
We also report on experts evaluation using DRLViz, and applicability of DRLViz to other scenarios and navigation problems beyond simulation games, as well as its contribution to black box models interpretability and explainability in the field of visual analytics.
