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ShaDocFormer: A Shadow-Attentive Threshold Detector With . . . In this paper, we propose ShaDoc-Former, a Transformer-based architecture that integrates tra-ditional methodologies and deep learning techniques to tackle the problem of document shadow removal The ShaDocFormer architecture comprises two components: the Shadow-attentive Threshold Detector (STD) and the Cascaded Fusion Refiner (CFR)
Removing Shadows from Images of Documents - UC Santa Barbara Speci cally, we captured 81 shadow images of 11 documents each with 5-9 variations of shadow intensity and shape using a Canon 5D Mark II DSLR camera, a tripod, a photography lamp, and light-blocking objects
ShadowDoc Documentation If you want to use another markup, choose a different builder in your settings
SHADOCNET: LEARNING SPATIAL-AWARE TOKENS IN TRANSFORMER FOR . . . In this paper, we propose a Transformer-based model for docu-ment shadow removal that utilizes shadow context encoding and decoding in both shadow and shadow-free regions Ad-ditionally, shadow detection and pixel-level enhancement are included in the whole coarse-to-fine process
arXiv:1904. 09763v2 [cs. CV] 2 May 2019 muhammad hasan@unisa edu au Abstract In this paper, we propose a novel algorithm to rectify illu-mination of the digitized docum nts by eliminating shading artifacts Firstly, a topographic surface of an input digitized document is create using luminance value of each pixel Then the shading artifact on the doc-ument is estimat
DocDeshadower: Frequency-aware Transformer for Document . . . We propose DocDeshadower, which addresses the issue of shadows appearing mainly as color in low-frequency infor-mation and as features such as edges in high-frequency in-formation by utilizing Laplacian pyramid from a multi-scale perspective
Sample Shadowing Request E-mail Draft 2 The following template is designed to help you compose an e-mail to request an opportunity to shadow and or conduct an informational interview Where there are blanks, fill in the appropriate information that is specific to the person you are contacting