ground truth

Do Language Models Know the Way to Rome? EMNLP 2021 OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets CVPR 2021 Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising CVPR 2021 We Need to Consider Disagreement in Evaluation ACL 2021 An Auxiliary Task for Learning Nuclei Segmentation in 3D Microscopy Images MIDL 2020 Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth ICLR 2020 Disentangling Human Error from Ground Truth in Segmentation of Medical Images NeurIPS 2020 End to End Trainable Active Contours via Differentiable Rendering ICLR 2020 Evaluating Attribution for Graph Neural Networks NeurIPS 2020 Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract) IJCAI 2020 A Contribution to the Critique of Liquid Democracy IJCAI 2019 Automatic Classifiers as Scientific Instruments: One Step Further Away from Ground-Truth ICML 2019 Human-level Protein Localization with Convolutional Neural Networks ICLR 2019 A High-Quality Denoising Dataset for Smartphone Cameras CVPR 2018 Intersection-Validation: A Method for Evaluating Structure Learning without Ground Truth AISTATS 2018 Training deep learning based denoisers without ground truth data NeurIPS 2018 Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth RSS 2017 Learning a Ground Truth Ranking Using Noisy Approval Votes IJCAI 2017 Shallow and Deep Convolutional Networks for Saliency Prediction CVPR 2016 Symmetry reCAPTCHA CVPR 2016 Beyond White: Ground Truth Colors for Color Constancy Correction ICCV 2015 The Secrets of Salient Object Segmentation CVPR 2014 Measures and Meta-Measures for the Supervised Evaluation of Image Segmentation CVPR 2013 The Multidimensional Wisdom of Crowds NeurIPS 2010