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20142024
most citedAdversarial Text-to-Image Synthesis: A Review

207 citations · 1.4k across the 102 of their papers we have counts for

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Showing 2020Show all

25 papers · 1 filter

cs.CV2020★ 2 cited

Going Beyond Classification Accuracy Metrics in Model Compression

Vinu Joseph, Shoaib Ahmed Siddiqui, Aditya Bhaskara +5

With the rise in edge-computing devices, there has been an increasing demand to deploy energy and resource-efficient models. A large body of research has been devoted to developing…

cs.AI2020★ 7 cited

Achievements and Challenges in Explaining Deep Learning based Computer-Aided Diagnosis Systems

Adriano Lucieri, Muhammad Naseer Bajwa, Andreas Dengel +1

Remarkable success of modern image-based AI methods and the resulting interest in their applications in critical decision-making processes has led to a surge in efforts to make suc…

cs.CL2020★ 2 cited

The Person Index Challenge: Extraction of Persons from Messy, Short Texts

Markus Schröder, Christian Jilek, Michael Schulze +1

When persons are mentioned in texts with their first name, last name and/or middle names, there can be a high variation which of their names are used, how their names are ordered a…

cs.DB2020★ 3 cited

Bridging the Technology Gap Between Industry and Semantic Web: Generating Databases and Server Code From RDF

Markus Schröder, Michael Schulze, Christian Jilek +1

Despite great advances in the area of Semantic Web, industry rather seldom adopts Semantic Web technologies and their storage and query concepts. Instead, relational databases (RDB…

cs.CV2020

Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence Matching

Fatemeh Azimi, Stanislav Frolov, Federico Raue +2

One-shot Video Object Segmentation~(VOS) is the task of pixel-wise tracking an object of interest within a video sequence, where the segmentation mask of the first frame is given a…

cs.CV2020★ 7 cited

Leveraging Visual Question Answering to Improve Text-to-Image Synthesis

Stanislav Frolov, Shailza Jolly, Jörn Hees +1

Generating images from textual descriptions has recently attracted a lot of interest. While current models can generate photo-realistic images of individual objects such as birds a…