697,902 Hits in 4.5 sec

Learning End-to-End Lossy Image Compression: A Benchmark [article]

Yueyu Hu, Wenhan Yang, Zhan Ma, Jiaying Liu
2021 arXiv   pre-print
Despite great progress, a systematic benchmark and comprehensive analysis of end-to-end learned image compression methods are lacking.  ...  Extensive benchmark experiments demonstrate the superiority of our model in rate-distortion performance and time complexity on multi-core CPUs and GPUs.  ...  CONCLUSION In this paper, we conduct a systematic benchmark on existing methods for learned image compression.  ... 
arXiv:2002.03711v4 fatcat:47d2ybnvmbhvtjp3lxqkkvxjq4

OpenRTiST: End-to-End Benchmarking for Edge Computing

Shilpa George, Thomas Eiszler, Roger Iyengar, Haithem Turki, Ziqiang Feng, Junjue Wang, Padmanabhan Pillai, Mahadev Satyanarayanan
2020 IEEE pervasive computing  
We compare end-to-end application latency over varying network conditions and measure performance across a variety of edge platforms.  ...  Benchmarking applications are needed to compare the performance across different edge deployments and against device-only and cloud-only implementations.  ...  These attributes make it an excellent application to perform end-to-end benchmarking of edge platforms.  ... 
doi:10.1109/mprv.2020.3028781 fatcat:w63esar2gvdwzf3dc3cftcra2q

Benchmarking End-to-End Behavioural Cloning on Video Games [article]

Anssi Kanervisto, Joonas Pussinen, Ville Hautamäki
2020 arXiv   pre-print
This also includes end-to-end approaches, where a computer plays a video game like humans do: by looking at the image displayed on the screen, and sending keystrokes to the game.  ...  As a general approach to playing video games, this has many inviting properties: no need for specialized modifications to the game, no lengthy training sessions and the ability to re-use the same tools  ...  CONCLUSION We benchmarked end-to-end behavioural cloning in various video games and studied the effect of quality of expert data and the delay from human reaction time.  ... 
arXiv:2004.00981v2 fatcat:vuucimtf3jhnflk7jxkf3cld5m

Benchmarking End-to-end Learning of MIMO Physical-Layer Communication [article]

Jinxiang Song, Christian Häger, Jochen Schröder, Tim O'Shea, Henk Wymeersch
2020 arXiv   pre-print
In this work, we aim to understand to what extent and for which scenarios this claim holds true when comparing with fair benchmarks.  ...  End-to-end data-driven machine learning (ML) of multiple-input multiple-output (MIMO) systems has been shown to have the potential of exceeding the performance of engineered MIMO transceivers, without  ...  AE-based Communication Systems AE-based end-to-end learning was proposed in [7] .  ... 
arXiv:2005.09718v1 fatcat:6owc66hofrh2foipfuuyrmz7tu

Benchmarking End-to-end Learning of MIMO Physical-Layer Communication

Jinxiang Song, Christian Hager, Jochen Schroder, Tim O'Shea, Henk Wymeersch
2020 GLOBECOM 2020 - 2020 IEEE Global Communications Conference  
In this work, we aim to understand to what extent and for which scenarios this claim holds true when comparing with fair benchmarks.  ...  End-to-end data-driven machine learning (ML) of multiple-input multiple-output (MIMO) systems has been shown to have the potential of exceeding the performance of engineered MIMO transceivers, without  ...  AE-based Communication Systems AE-based end-to-end learning was proposed in [7] .  ... 
doi:10.1109/globecom42002.2020.9322115 fatcat:izodugwpjjafngg6hqr2ncf22y

An Open Architecture for End-to-End Document Analysis Benchmarking

Bart Lamiroy, Daniel Lopresti
2011 2011 International Conference on Document Analysis and Recognition  
In this paper we present a fully operational, scalable and open architecture allowing to perform end-to-end document analysis benchmarking without needing to develop the whole pipeline.  ...  Its flexible structure makes it very straightforward to plug in new experimental algorithms, compare them to equivalent other algorithms, and observe its effects on end-to-end tasks without need to install  ...  Acknowledgements The authors wish to thank Lehigh Undergrad students Austin Borden and Qihan Long for their technical contributions and research on Taverna.  ... 
doi:10.1109/icdar.2011.18 dblp:conf/icdar/LamiroyL11 fatcat:uzfddeyfhrhphag7ztob5uqxji

Edge AIBench: Towards Comprehensive End-to-end Edge Computing Benchmarking [article]

Tianshu Hao, Yunyou Huang, Xu Wen, Wanling Gao, Fan Zhang, Chen Zheng, Lei Wang, Hainan Ye, Kai Hwang, Zujie Ren, Jianfeng Zhan
2019 arXiv   pre-print
So for edge computing benchmarking, we must take an end-to-end view, considering all three layers: client-side devices, edge computing layer, and cloud servers.  ...  This paper presents the BenchCouncil's coordinated e ort on edge AI benchmarks, named Edge AIBench.  ...  Therefore, a comprehensive end-to-end edge computing benchmark suite is needed to measure and optimize the systems and applications.  ... 
arXiv:1908.01924v1 fatcat:bopkwri2qnhxbnxhkq72ply3ca

PopEval: A Character-Level Approach to End-To-End Evaluation Compatible with Word-Level Benchmark Dataset [article]

Hong-Seok Lee, Youngmin Yoon, Pil-Hoon Jang, Chankyu Choi
2019 arXiv   pre-print
The proposed evaluation algorithm is not only applicable to current end-to-end tasks, but also suggests a new direction to redesign the evaluation concept for further OCR researches.  ...  Although the evaluation algorithm was devised as a character-level approach, the comparative experiment revealed that PopEval is also compatible on existing benchmark datasets annotated at word-level.  ...  In summary, our contributions are as follows: 1) We propose a novel character-oriented end-to-end evaluation protocol, compatible with existing benchmark datasets annotated at word level. 2) To confirm  ... 
arXiv:1908.11060v1 fatcat:sfk6widfpvbqpncivz6iz2ubkq

Furnishing Your Room by What You See: An End-to-End Furniture Set Retrieval Framework with Rich Annotated Benchmark Dataset [article]

Bingyuan Liu, Jiantao Zhang, Xiaoting Zhang, Wei Zhang, Chuanhui Yu, Yuan Zhou
2020 arXiv   pre-print
On the dataset, we introduce a new benchmark, named furniture set retrieval.  ...  is employed to re-rank the retrieval results.  ...  An end-to-end framework is proposed to solve this problem.  ... 
arXiv:1911.09299v2 fatcat:j7423ceehjbsflhb7zxy73jaqa

DNN+NeuroSim V2.0: An End-to-End Benchmarking Framework for Compute-in-Memory Accelerators for On-chip Training [article]

Xiaochen Peng, Shanshi Huang, Hongwu Jiang, Anni Lu, Shimeng Yu
2020 arXiv   pre-print
DNN+NeuroSim is an integrated framework to benchmark compute-in-memory (CIM) accelerators for deep neural networks, with hierarchical design options from device-level, to circuit-level and up to algorithm-level  ...  core, we benchmarked CIM accelerators based on state-of-the-art SRAM and eNVM devices for VGG-8 on CIFAR-10 dataset, revealing the crucial specs of synaptic devices for on-chip training.  ...  To evaluate these device properties from systemlevel perspective, we published a prior work in IEDM 2019 [7] , whose latest version is named as DNN+NeuroSim V1.1, and served as an end-to-end benchmarking  ... 
arXiv:2003.06471v1 fatcat:aavpvm27bnhubljl4hjeslp6za

From Benchmarking to Final Status? Kosovo and The Problem of an International Administration's Open-Ended Mandate

Bernhard Knoll
2005 European journal of international law  
This contribution examines certain inherent shortcomings of an 'open-ended' institution- building operation for which the future status of the entity in statu nascendi remains undecided.  ...  Turning 'inward' to a sphere of domestic governance, the contribution highlights some of the problems encountered with regard to the privatization of public assets in Kosovo.  ...  of 'benchmarks' since summer 2002.  ... 
doi:10.1093/ejil/chi140 fatcat:tuut4pnokvd7zjm2lmy6wgsi7i

Benchmarking time to initiation of end-of-life homecare nursing: a population-based cancer cohort study in regions across Canada

Hsien Seow, Danial Qureshi, Lisa Barbera, Kim McGrail, Beverley Lawson, Fred Burge, Rinku Sutradhar
2018 BMC Palliative Care  
Understanding regional variation and developing an empiric benchmark for homecare nursing can support health system planners to set achievable targets for earlier initiation of end-of-life care.  ...  The empiric benchmark mean based on best-performing regions was 57 mean days. Conclusions: Significant variation exists for the time to initiation of end-of-life homecare nursing across regions.  ...  Acknowledgements The authors would like to acknowledge the following people for their feedback during the preparation of this manuscript: Reka Pataky, Erin O'Leary, Ying Liu, and Konrad Fassbender.  ... 
doi:10.1186/s12904-018-0321-5 pmid:29728091 pmcid:PMC5936018 fatcat:i4wfq2u4fnhtfcinyvuuze2gg4

AIBench: An Agile Domain-specific Benchmarking Methodology and an AI Benchmark Suite [article]

Wanling Gao, Fei Tang, Jianfeng Zhan, Chuanxin Lan, Chunjie Luo, Lei Wang, Jiahui Dai, Zheng Cao, Xiongwang Xiong, Zihan Jiang, Tianshu Hao, Fanda Fan (+21 others)
2020 arXiv   pre-print
We propose the permutations of essential AI and non-AI component benchmarks as end-to-end benchmarks.  ...  We design and implement a highly extensible, configurable, and flexible benchmark framework, on the basis of which, we propose the guideline for building end-to-end benchmarks, and present the first end-to-end  ...  Building end-to-to benchmarks In this section, we illustrate how to build end-to-end benchmarks, and later discuss the guideline.  ... 
arXiv:2002.07162v1 fatcat:jtpkludw2zdsnnwp4rfaflyofa

Measuring and Benchmarking the Back-end of E-Government: A Participative Self-assessment Approach [chapter]

Marijn Janssen
2010 Lecture Notes in Computer Science  
This model has been used to benchmark 15 initiates in the Netherlands in a group session. This helped them to identify opportunities for improvement and to share their experiences and practices.  ...  The benchmark results shows that only a disappointingly few investigated back-ends (20%) fall in the highest quadrant.  ...  In the next section e-government benchmarking and measurement literature is reviewed. This literature is used as a starting point to develop the back-end measurement and benchmarking model.  ... 
doi:10.1007/978-3-642-14799-9_14 fatcat:gspeiqimrjbmbczwh2r7yf2p3q

Action-oriented Benchmarking: Using the CEUS Database to Benchmark Commercial Buildings in California

Paul Mathew, Evan Mills, Norman Bourassa, Martha Brook
2008 Energy Engineering  
This approach goes beyond whole-building energy benchmarking to more advanced end-use and component-level benchmarking that enables users to identify and prioritize specific energy efficiency opportunities  ...  The 2006 Commercial End Use Survey (CEUS) database developed by the California Energy Commission is a far richer source of energy end-use data for non-residential buildings than has previously been available  ...  relative to other end uses.  ... 
doi:10.1080/01998590809509386 fatcat:ueyyvkavdff33eivflpirqjddy
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