Mean-Teacher适合large scale数据和online learning Experiment Base model: 13-layer CNN (后面有用ResNet) Noise on dataset (这里的noise和learning in noisy labels的所谓noise还是完全不一样的,确实有可能mean-teacher的方法直接用到learning in noisy labels上效果不是特别好,但是可以提供一定参考思路): random t...
(2005) iUS cortex (║ gravity, before dural removal) 3 9 Empty Cell cortex (║ gravity, after dural removal) 3.2 12.5 Empty Cell cortex (┴ gravity, before dural removal) 7.5 9 Empty Cell cortex (┴ gravity, after dural removal) 8.9 10.5 Reinertsen et al. 2007b) iUS - Doppler ...
A survey on analysis and implementation of state-of-the-art haze removal techniques G.Harish Babu,N.Venkatram, inJournal of Visual Communication and Image Representation, 2020 5.1.25.1.2. Mean square error (MSE) It is a well-known quality metric required to predict the error between theground...
Image Shadow Removal Interpolation We also provide a interpolation demo to perform interpolation between two images incodes/demos/interpolation.py, the usage is: cdcodes/demos python interpolation.py -s source_image_path -t target_image_path --save save_dir ...
In this work, we introduce an image processing technique based on mean subtraction of the depth profile that can effectively reduce these tails to better reveal small hidden vessels compared to the current tail removal approach. With the improved vascular image quality, we demonstrate that this ...
Supporting Carbon Removal To achieve a net zero future, we’ll also need to accelerate our efforts to remove emissions from the atmosphere. AI can be useful in further developing carbon removal technologies such as direct air capture and carbon capture and storage—for example, assessing ...
In a concurrent work by Welker et al. (2022a), they extend the idea to JPEG artifact removal, where they introduce another version of their SDE with a linear θ𝜃\theta scheduler. As shown in Section 5.3, both of these are outperformed by our cosine θ𝜃\theta scheduler. Moreover, ...
In decision-making process, decision-makers may make different decisions because of their different experiences and knowledge. The abnormal preference value given by the biased decision-maker (the value that is too large or too small in the original data
National Geographic photographer Brian Skerry has been diving in the Gulf of Maine for more than 40 years. After learning these waters were a harbinger of climate change, he set out to document the rapid shift and its ripple effects.
Since opacified fluid is presented in most of our studies, a fluid removal process (Franaszek et al., 2006) is conducted to convert the high intensity fluid voxels to air voxels. The initial intensity of “polyp tissue” class is given as the average intensity of the enhanced region, and ...