【Writing】 Expressions for paper writing

  • Expressions for paper writing

Expressions

  • Apart from the aforementioned forms/works
  • be aims to = be targeted to
  • no need to reinvent general segmentation architectures
  • the following observation explains the superiority of N.
  • In turn, = Eventually
  • adopt A with the following changes.
  • it seems natural to
  • work well and produce even better results than
  • F is a network parameterized by θ
  • To have a more thorough comparison,
  • hinders the applicability of segmentation models.
  • Therefore, instead of improving ~, our work focused on
  • leverages the availability of extra unlabeled or weakly annotated
  • , with the aim of narrowing the gap to the supervised models
  • we specify/ demonstrate/ present that
  • and vice versa.but not vice versa.
  • It is expected that -.
  • As illustrated in Fig,
  • We investigate how
  • invariance between the outputs of two identical networks fed with distorted versions of a sample.
  • A be encouraged to be B. (<- we make A to B.)
  • in lieu of = instead of
  • This line of methods = Previous methods
  • When it comes to ~ there is ~. = In terms of = In the sense of = In the context of
  • With this in mind, we propose = According to this motivation,
  • From the other end, = In contrast, = Conversely
  • can be converted into = considered as = represent as =
  • Our research directions can be classified into three areas:
  • The onus of generalization lies heavily on the data augmentation pipeline
  • we propose the novel loss that can be succinctly written as a contrastive learning objective
  • The effect of hard negatives has so far been neglected.
  • We delve deeper into
  • tend to, be prone to, be likely tothey are prone to overlook spatial consistency
  • A conditional normalization layer that modulates (norm+denorm) the activations.
  • The conditional normalization layer can effectively propagate semantic information.
  • In line with the other datasets in Wilds, we evaluate using a classification task.
  • In general, we believe that these results lend support to the conclusion that ~ (Interpretation of experimental results / additional insight).

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