124 citations · 286 across the 15 of their papers we have counts for
29 papers
FSNet: A Failure Detection Framework for Semantic Segmentation
Quazi Marufur Rahman, Niko Sünderhauf, Peter Corke +1
Semantic segmentation is an important task that helps autonomous vehicles understand their surroundings and navigate safely. During deployment, even the most mature segmentation mo…
Going Deeper into Semi-supervised Person Re-identification
Olga Moskvyak, Frederic Maire, Feras Dayoub +1
Person re-identification is the challenging task of identifying a person across different camera views. Training a convolutional neural network (CNN) for this task requires annotat…
Semi-supervised Keypoint Localization
Olga Moskvyak, Frederic Maire, Feras Dayoub +1
Knowledge about the locations of keypoints of an object in an image can assist in fine-grained classification and identification tasks, particularly for the case of objects that ex…
Semantics for Robotic Mapping, Perception and Interaction: A Survey
Sourav Garg, Niko Sünderhauf, Feras Dayoub +9
For robots to navigate and interact more richly with the world around them, they will likely require a deeper understanding of the world in which they operate. In robotics and rela…
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Quazi Marufur Rahman, Peter Corke, Feras Dayoub
As deep learning continues to dominate all state-of-the-art computer vision tasks, it is increasingly becoming an essential building block for robotic perception. This raises impor…
SWA Object Detection
Haoyang Zhang, Ying Wang, Feras Dayoub +1
Do you want to improve 1.0 AP for your object detector without any inference cost and any change to your detector? Let us tell you such a recipe. It is surprisingly simple: train y…