Media Summary: It is now well known that neural networks can be wrong with high confidence in their predictions, leading to poor calibration. Authors: Gerhard Krumpl; Henning Avenhaus; Horst Possegger; Horst Bischof Description: Out-of-distribution (OOD) detection is ... Visser, J.B., Wasko, C., Sharma, A., Nathan, R., 2021. Eliminating the “hook” in Precipitation-
Eccv 2022 Parameterized Temperature Scaling - Detailed Analysis & Overview
It is now well known that neural networks can be wrong with high confidence in their predictions, leading to poor calibration. Authors: Gerhard Krumpl; Henning Avenhaus; Horst Possegger; Horst Bischof Description: Out-of-distribution (OOD) detection is ... Visser, J.B., Wasko, C., Sharma, A., Nathan, R., 2021. Eliminating the “hook” in Precipitation- The process of going from overconfident (in the predictive range) to appropriately confident, and from appropriately confident to ... [ECCV 2022] Efficient Video Transformers with Spatial-Temporal Token Selection Most image-to-image translation methods require a large number of training images, which restricts their applicability. We instead ...
More details at Abstract: We present a novel method for multi image domain and ... This air saturated test chamber is required by IEC 62196-1: HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim, Nicole Meister, Vikram V. Ramaswamy, Ruth ... MINER: Multiscale Implicit Neural Representations. ECCV, 2022 MERL Intern Sk Miraj Ahmed and MERL Researchers Suhas Lohit, Kuan-Chuan Peng, and Michael J. Jones present their paper ...