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Found 5 papers, 1 papers with code
ROMA: Run-Time Object Detection To Maximize Real-Time Accuracy
This paper analyzes the effects of dynamically varying video contents and detection latency on the real-time detection accuracy of a detector and proposes a new run-time accuracy variation model, ROMA, based on the findings from the analysis.
Resource-Efficient Deep Learning: A Survey on Model-, Arithmetic-, and Implementation-Level Techniques
Deep learning is pervasive in our daily life, including self-driving cars, virtual assistants, social network services, healthcare services, face recognition, etc.
Leveraging Transprecision Computing for Machine Vision Applications at the Edge
Machine vision tasks present challenges for resource constrained edge devices, particularly as they execute multiple tasks with variable workloads.
An Automated Domain Understanding Technique for Knowledge Graph Generation
Initially, the structure of the domain of interest is inferred from the corpus in the form of a metagraph.
Understood in Translation, Transformers for Domain Understanding
Focusing on scientific document understanding, we present a new health domain dataset based on publications extracted from PubMed and we successfully utilize our method on this.
