EISNet
EISNet copied to clipboard
[ECCV 2020] Learning from Extrinsic and Intrinsic Supervisions for Domain Generalization
Bumps [numpy](https://github.com/numpy/numpy) from 1.18.0 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Bumps [pyyaml](https://github.com/yaml/pyyaml) from 5.1 to 5.4. Changelog Sourced from pyyaml's changelog. 5.4 (2021-01-19) yaml/pyyaml#407 -- Build modernization, remove distutils, fix metadata, build wheels, CI to GHA yaml/pyyaml#472 -- Fix for...
Hi, Thank you for your nice work. I am just wondering how can we produce the results deep all, deep all + triplet, deep all + jigsaw, and deep all...
Hi Author, Thanks for sharing the wonderful code. I run your code with the default setting for three times with the target dataset "sketch". The average results for three times...