Unified open-vocabulary dense visual prediction
In recent years, open-vocabulary (OV) dense visual prediction (such as OV object detection,
semantic, instance and panoptic segmentations) has attracted increasing research attention …
semantic, instance and panoptic segmentations) has attracted increasing research attention …
Ugains: Uncertainty guided anomaly instance segmentation
A single unexpected object on the road can cause an accident or may lead to injuries. To
prevent this, we need a reliable mechanism for finding anomalous objects on the road. This …
prevent this, we need a reliable mechanism for finding anomalous objects on the road. This …
[PDF][PDF] Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
Establishing certified uncertainty quantification (UQ) in imaging processing applications
continues to pose a significant challenge. In particular, such a goal is crucial for accurate …
continues to pose a significant challenge. In particular, such a goal is crucial for accurate …
Object detection as probabilistic set prediction
Accurate uncertainty estimates are essential for deploying deep object detectors in safety-
critical systems. The development and evaluation of probabilistic object detectors have been …
critical systems. The development and evaluation of probabilistic object detectors have been …
High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion
Due to the significant resemblance in visual appearance, pill misuse is prevalent and has
become a critical issue, responsible for one-third of all deaths worldwide. Pill identification …
become a critical issue, responsible for one-third of all deaths worldwide. Pill identification …
CoBaIR: A python library for context-based intention recognition in human-robot-interaction
A Lubitz, L Gutzeit, F Kirchner - 2023 32nd IEEE International …, 2023 - ieeexplore.ieee.org
Human-Robot Interaction (HRI) becomes more and more important in a world where robots
integrate fast in all aspects of our lives but HRI applications depend massively on the utilized …
integrate fast in all aspects of our lives but HRI applications depend massively on the utilized …
Digital Semantic Communications: An Alternating Multi-Phase Training Strategy with Mask Attack
Semantic communication (SemComm) has emerged as new paradigm shifts. Most existing
SemComm systems transmit continuously distributed signals in analog fashion. However …
SemComm systems transmit continuously distributed signals in analog fashion. However …
Comparison of uncertainty quantification with deep learning in time series regression
L Foldesi, M Valdenegro-Toro - arXiv preprint arXiv:2211.06233, 2022 - arxiv.org
Increasingly high-stakes decisions are made using neural networks in order to make
predictions. Specifically, meteorologists and hedge funds apply these techniques to time …
predictions. Specifically, meteorologists and hedge funds apply these techniques to time …
Towards robust uncertainty estimation in the presence of noisy labels
C Pan, B Yuan, W Zhou, X Yao - International Conference on Artificial …, 2022 - Springer
In security-critical applications, it is essential to know how confident the model is in its
predictions. Many uncertainty estimation methods have been proposed recently, and these …
predictions. Many uncertainty estimation methods have been proposed recently, and these …
Sensor Fusion using Probabilistic Object Detection for State Estimation
S Subedi, L Höhndorf, R Kulaga, Z Hodaie… - AIAA AVIATION 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-3561. vid Kalman filtering for
global navigation satellite systems (GNSS)-aided inertial navigation has been widely used …
global navigation satellite systems (GNSS)-aided inertial navigation has been widely used …