In recent years,learning-based low-light image enhancement methods have shown excellent performance,but the heuristic design adopted by most methods requires high engineering skills for developers,causing expensive in...In recent years,learning-based low-light image enhancement methods have shown excellent performance,but the heuristic design adopted by most methods requires high engineering skills for developers,causing expensive inference costs that are unfriendly to the hardware platform.To handle this issue,we propose to automatically discover an efficient architecture,called progressive attentive Retinex network(PAR-Net).We define a new attentive Retinex framework by introducing the attention mechanism to strengthen structural representation.A multi-level search space containing micro-level on the operation and macro-level on the cell is established to realize meticulous construction.To endow the searched architecture with the hardware-aware property,we develop a latency-constrained progressive search strategy that successfully improves the model capability by explicitly expressing the intrinsic relationship between different models defined in the attentive Retinex framework.Extensive quantitative and qualitative experimental results fully justify the superiority of our proposed approach against other state-of-the-art methods.A series of analytical evaluations is performed to illustrate the validity of our proposed algorithm.展开更多
本文以中国知网(CNKI)和Web of Science核心数据库检索到的有效样本文献作为数据来源,通过CiteSpace软件对城市绿地评价研究领域的发文量、作者、机构合作情况以及热点关键词等进行可视化分析,并对热点内容进行述评。结果表明:(1)国内...本文以中国知网(CNKI)和Web of Science核心数据库检索到的有效样本文献作为数据来源,通过CiteSpace软件对城市绿地评价研究领域的发文量、作者、机构合作情况以及热点关键词等进行可视化分析,并对热点内容进行述评。结果表明:(1)国内外研究整体发文量呈上升趋势,2013年后国际发文量显著提升,且我国为主要发文力量。(2)国内外各团队合作关系较稳定,合作多在团队内部,不同国家间交流不够。(3)国内外机构多为内部合作,不同机构间合作较少。(4)当前国内外城市绿地评价研究主要集中在城市绿地质量评价、城市绿地可达性评价、城市绿地景观评价、城市绿地对健康福祉影响研究、城市绿地生态系统服务评价等内容上。未来我国城市绿地评价研究需关注的问题:加强学者间、学科间、研究机构间以及与其他国家间的合作;多从居民需求角度选取指标,强调绿地美学质量的重要性;关注健康福祉主题更微观层面的研究,提高居民满意度和幸福感;重点关注城市绿地可持续发展问题。展开更多
文摘In recent years,learning-based low-light image enhancement methods have shown excellent performance,but the heuristic design adopted by most methods requires high engineering skills for developers,causing expensive inference costs that are unfriendly to the hardware platform.To handle this issue,we propose to automatically discover an efficient architecture,called progressive attentive Retinex network(PAR-Net).We define a new attentive Retinex framework by introducing the attention mechanism to strengthen structural representation.A multi-level search space containing micro-level on the operation and macro-level on the cell is established to realize meticulous construction.To endow the searched architecture with the hardware-aware property,we develop a latency-constrained progressive search strategy that successfully improves the model capability by explicitly expressing the intrinsic relationship between different models defined in the attentive Retinex framework.Extensive quantitative and qualitative experimental results fully justify the superiority of our proposed approach against other state-of-the-art methods.A series of analytical evaluations is performed to illustrate the validity of our proposed algorithm.
文摘本文以中国知网(CNKI)和Web of Science核心数据库检索到的有效样本文献作为数据来源,通过CiteSpace软件对城市绿地评价研究领域的发文量、作者、机构合作情况以及热点关键词等进行可视化分析,并对热点内容进行述评。结果表明:(1)国内外研究整体发文量呈上升趋势,2013年后国际发文量显著提升,且我国为主要发文力量。(2)国内外各团队合作关系较稳定,合作多在团队内部,不同国家间交流不够。(3)国内外机构多为内部合作,不同机构间合作较少。(4)当前国内外城市绿地评价研究主要集中在城市绿地质量评价、城市绿地可达性评价、城市绿地景观评价、城市绿地对健康福祉影响研究、城市绿地生态系统服务评价等内容上。未来我国城市绿地评价研究需关注的问题:加强学者间、学科间、研究机构间以及与其他国家间的合作;多从居民需求角度选取指标,强调绿地美学质量的重要性;关注健康福祉主题更微观层面的研究,提高居民满意度和幸福感;重点关注城市绿地可持续发展问题。
