17 citations · 37 across the 7 of their papers we have counts for
5 papers · 1 filter
Scientific Domain Knowledge Improves Exoplanet Transit Classification with Deep Learning
Megan Ansdell, Yani Ioannou, Hugh P. Osborn +5
Space-based missions such as Kepler, and soon TESS, provide large datasets that must be analyzed efficiently and systematically. Recent work by Shallue & Vanderburg (2018) successf…
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition
Roshanak Zakizadeh, Yu Qian, Michele Sasdelli +1
In this paper, we present a method for instance ranking and retrieval at fine-grained level based on the global features extracted from a multi-attribute recognition model which is…
Improving the Annotation of DeepFashion Images for Fine-grained Attribute Recognition
Roshanak Zakizadeh, Michele Sasdelli, Yu Qian +1
DeepFashion is a widely used clothing dataset with 50 categories and more than overall 200k images where each image is annotated with fine-grained attributes. This dataset is often…
Hide and Seek tracker: Real-time recovery from target loss
Alessandro Bay, Panagiotis Sidiropoulos, Eduard Vazquez +1
In this paper, we examine the real-time recovery of a video tracker from a target loss, using information that is already available from the original tracker and without a signific…
FineTag: Multi-attribute Classification at Fine-grained Level in Images
Roshanak Zakizadeh, Michele Sasdelli, Yu Qian +1
In this paper, we address the extraction of the fine-grained attributes of an instance as a `multi-attribute classification' problem. To this end, we propose an end-to-end architec…