191 citations · 426 across the 21 of their papers we have counts for
21 papers · 1 filter
Semantic Segmentation with Active Semi-Supervised Representation Learning
Aneesh Rangnekar, Christopher Kanan, Matthew Hoffman
Obtaining human per-pixel labels for semantic segmentation is incredibly laborious, often making labeled dataset construction prohibitively expensive. Here, we endeavor to overcome…
EllSeg-Gen, towards Domain Generalization for head-mounted eyetracking
Rakshit S. Kothari, Reynold J. Bailey, Christopher Kanan +2
The study of human gaze behavior in natural contexts requires algorithms for gaze estimation that are robust to a wide range of imaging conditions. However, algorithms often fail t…
Detecting out-of-context objects using contextual cues
Manoj Acharya, Anirban Roy, Kaushik Koneripalli +3
This paper presents an approach to detect out-of-context (OOC) objects in an image. Given an image with a set of objects, our goal is to determine if an object is inconsistent with…
2nd Place Solution for SODA10M Challenge 2021 -- Continual Detection Track
Manoj Acharya, Christopher Kanan
In this technical report, we present our approaches for the continual object detection track of the SODA10M challenge. We adapt ResNet50-FPN as the baseline and try several improve…
How Does Heterogeneous Label Noise Impact Generalization in Neural Nets?
Bidur Khanal, Christopher Kanan
Incorrectly labeled examples, or label noise, is common in real-world computer vision datasets. While the impact of label noise on learning in deep neural networks has been studied…
Self-Supervised Training Enhances Online Continual Learning
Jhair Gallardo, Tyler L. Hayes, Christopher Kanan
In continual learning, a system must incrementally learn from a non-stationary data stream without catastrophic forgetting. Recently, multiple methods have been devised for increme…