From bcf9406897f6d20e19620530486cb055c1e6623b Mon Sep 17 00:00:00 2001 From: "jules@lens" Date: Sat, 9 Mar 2019 16:26:20 +0100 Subject: update datasets --- scraper/reports/doi_institutions_unattributed.csv | 1 + 1 file changed, 1 insertion(+) (limited to 'scraper/reports/doi_institutions_unattributed.csv') diff --git a/scraper/reports/doi_institutions_unattributed.csv b/scraper/reports/doi_institutions_unattributed.csv index 300419fc..c836c6a1 100644 --- a/scraper/reports/doi_institutions_unattributed.csv +++ b/scraper/reports/doi_institutions_unattributed.csv @@ -303,6 +303,7 @@ d1496c7bd4b6a770d1ae36a79ce891bfb944b861,Car Detection in High-Resolution Urban 3a23e02ef7855544bf8f38274d2b523fff03e6eb,The Battle for Filter Supremacy: A Comparative Study of the Multi-State Constraint Kalman Filter and the Sliding Window Filter 3a0969900b363a7c52a5995d894d45dd6c6c01b4,RecResNet: A Recurrent Residual CNN Architecture for Disparity Map Enhancement 3ac3386a9d1a5651ca2062d5c1b23766bea2568e,Automatic 3D Facial Feature Extraction Algorithm +3acc07f7f8951617276cf99483ed02aeb0a6eeac,Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes 3a78f0c4b07ff756aec20a2f17ef0f25470c3cd6,Video Summarization via Multi-view Representative Selection 3ab5d67310aa3592b68e9ef55df4603507d0d486,Learning Spatial Transforms for Refining Object Segment Proposals 3af2b34ada1355e8d96e0014eb89aea49c301293,"Quick, Accurate, Smart: 3D Computer Vision Technology Helps Assessing Confined Animals’ Behaviour" -- cgit v1.2.3-70-g09d2