This paper aims to summarize the state of the art in pixel-level semantic segmenation. A special emphasis is put on possible applications like detection of medical instruments when given (time series of) images from minimal-invasiv operations.
- Search TODO:
grep -rni TODO *
- Remove LaTeX comments:
grep -rnE "%(.+)" *
- Check .log file for
- Warning
- Error
- Notice
- Use aspell:
aspell --lang=en --mode=tex check file.tex
- Use academic writing checker (https://github.com/devd/Academic-Writing-Check)
- http://www.cs.umd.edu/~nspring/software/style-check-readme.html
- Cleanup:
- latexindent
- Remove trailing whitespace with
find . -type f -name '*.tex' -exec sed --in-place 's/[[:space:]]\+$//' {} \+
- Make sure every file ends with a newline
- grep -P '\t' *
vorlage.tex
: useIEEEtranSA
grep -rni arxiv --include \*.tex *