FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2975438151> ?p ?o ?g. }

• W2975438151 abstract "Images acquired by outdoor vision systems easily suffer poor visibility and annoying interference due to the rainy weather, which brings great challenge for accurately understanding and describing the visual contents. Recent researches have devoted great efforts on the task of rain removal for improving the image visibility. However, there is very few exploration about the quality assessment of de-rained image, even it is crucial for accurately measuring the performance of various de-raining algorithms. In this paper, we first create a de-raining quality assessment (DQA) database that collects 206 authentic rain images and their de-rained versions produced by 6 representative single image rain removal algorithms. Then, a subjective study is conducted on our DQA database, which collects the subject-rated scores of all de-rained images. To quantitatively measure the quality of de-rained image with non-uniform artifacts, we propose a bi-directional feature embedding network (B-FEN) which integrates the features of global perception and local difference together. Experiments confirm that the proposed method significantly outperforms many existing universal blind image quality assessment models. To help the research towards perceptually preferred de-raining algorithm, we will publicly release our DQA database and B-FEN source code on https://github.com/wqb-uestc." @default.
• W2975438151 created "2019-10-03" @default.
• W2975438151 creator A5008589907 @default.
• W2975438151 creator A5022134460 @default.
• W2975438151 creator A5044954967 @default.
• W2975438151 creator A5073216396 @default.
• W2975438151 creator A5075737786 @default.
• W2975438151 creator A5077165659 @default.
• W2975438151 date "2019-09-26" @default.
• W2975438151 modified "2023-09-27" @default.
• W2975438151 title "Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image" @default.
• W2975438151 cites W104184427 @default.
• W2975438151 cites W1677182931 @default.
• W2975438151 cites W1970821875 @default.
• W2975438151 cites W1976056157 @default.
• W2975438151 cites W1977246677 @default.
• W2975438151 cites W1977725648 @default.
• W2975438151 cites W1982471090 @default.
• W2975438151 cites W2007178835 @default.
• W2975438151 cites W2009543464 @default.
• W2975438151 cites W2063360098 @default.
• W2975438151 cites W2069737080 @default.
• W2975438151 cites W2102166818 @default.
• W2975438151 cites W2108598243 @default.
• W2975438151 cites W2109255472 @default.
• W2975438151 cites W2117535912 @default.
• W2975438151 cites W2121396509 @default.
• W2975438151 cites W2125188192 @default.
• W2975438151 cites W2126432571 @default.
• W2975438151 cites W2129644086 @default.
• W2975438151 cites W2133665775 @default.
• W2975438151 cites W2150060382 @default.
• W2975438151 cites W2154621477 @default.
• W2975438151 cites W2161927477 @default.
• W2975438151 cites W2162692770 @default.
• W2975438151 cites W2162915697 @default.
• W2975438151 cites W2163370434 @default.
• W2975438151 cites W2194775991 @default.
• W2975438151 cites W2199881907 @default.
• W2975438151 cites W2209874411 @default.
• W2975438151 cites W2295949027 @default.
• W2975438151 cites W2338117771 @default.
• W2975438151 cites W2466666260 @default.
• W2975438151 cites W2509784253 @default.
• W2975438151 cites W2519481857 @default.
• W2975438151 cites W2525037006 @default.
• W2975438151 cites W2553910756 @default.
• W2975438151 cites W2556967412 @default.
• W2975438151 cites W2592939477 @default.
• W2975438151 cites W2611915171 @default.
• W2975438151 cites W2620678416 @default.
• W2975438151 cites W2768340063 @default.
• W2975438151 cites W2790883954 @default.
• W2975438151 cites W2905544033 @default.
• W2975438151 cites W2955793676 @default.
• W2975438151 cites W2963017889 @default.
• W2975438151 cites W2963446712 @default.
• W2975438151 cites W2963459241 @default.
• W2975438151 cites W2963815618 @default.
• W2975438151 cites W2971230840 @default.
• W2975438151 cites W3100498948 @default.
• W2975438151 cites W3102939503 @default.
• W2975438151 cites W634211087 @default.
• W2975438151 cites W86140595 @default.
• W2975438151 doi "https://doi.org/10.48550/arxiv.1909.11983" @default.
• W2975438151 hasPublicationYear "2019" @default.
• W2975438151 type Work @default.
• W2975438151 sameAs 2975438151 @default.
• W2975438151 citedByCount "0" @default.
• W2975438151 crossrefType "posted-content" @default.
• W2975438151 hasAuthorship W2975438151A5008589907 @default.
• W2975438151 hasAuthorship W2975438151A5022134460 @default.
• W2975438151 hasAuthorship W2975438151A5044954967 @default.
• W2975438151 hasAuthorship W2975438151A5073216396 @default.
• W2975438151 hasAuthorship W2975438151A5075737786 @default.
• W2975438151 hasAuthorship W2975438151A5077165659 @default.
• W2975438151 hasBestOaLocation W29754381511 @default.
• W2975438151 hasConcept C111472728 @default.
• W2975438151 hasConcept C111919701 @default.
• W2975438151 hasConcept C115961682 @default.
• W2975438151 hasConcept C123403432 @default.
• W2975438151 hasConcept C138885662 @default.
• W2975438151 hasConcept C153294291 @default.
• W2975438151 hasConcept C154945302 @default.
• W2975438151 hasConcept C169760540 @default.
• W2975438151 hasConcept C177264268 @default.
• W2975438151 hasConcept C199360897 @default.
• W2975438151 hasConcept C205649164 @default.
• W2975438151 hasConcept C26760741 @default.
• W2975438151 hasConcept C2776401178 @default.
• W2975438151 hasConcept C2776760102 @default.
• W2975438151 hasConcept C2779530757 @default.
• W2975438151 hasConcept C31972630 @default.
• W2975438151 hasConcept C41008148 @default.
• W2975438151 hasConcept C41895202 @default.
• W2975438151 hasConcept C43126263 @default.
• W2975438151 hasConcept C55020928 @default.
• W2975438151 hasConcept C86803240 @default.
• W2975438151 hasConceptScore W2975438151C111472728 @default.
• W2975438151 hasConceptScore W2975438151C111919701 @default.

• next