前言:本文是作者在撰寫小論文過程中,從相關頂會論文中摘選出來的常用單詞不同的說法,從而避免論文文筆過於單調。本文將會不定期更新~歡迎小夥伴們在留言區補充哦!
1. 常用詞的N種說法
1.1 Besides
- Moreover
- In addition
1.2 Get
- obtain
1.3 Show
- exhibit
- demonstrate
- present
1.4 Improve
- be boosted to
1.5 Compare
- In contrast
1.6 Can
- allow to
- attempt to
- be able to
- be exploited for
- play the role of
- be capable of
1.7 Many
- diverse 多種多樣的
- multiple
1.8 Motivated by
- Inspired by
1.9 Suppose
- assume
1.10 Use
- utilize
- employ
- apply … to …
- enforce
- be easily integrated with
- deploy … as …
- be taken as
- be employed as
1.11 solve
- address
1.12 define
- refer to sth as sth
- sth be identical to sth
- be represented as
1.13 for example
- for instance
- take … as an example
1.14 come from
- drift from
1.15 aim to
- for the purpose of
2. 專有名詞
2.1 Image-to-Image Translation
2.1.1 Word
- stylised image 轉換後的風格圖
- paired image 成對的圖片
- be transfered to
- a fixed target style
- multimodal translation 多遷移
- deconvolution layer 反捲積層
- stable training
- uniform sampling
- randomly sampled from
2.1.2 Advantage
- deterministic one-to-one mapping transfer a soure image into the target style
- these works can be divided into two categories according to the controllabiliy of the target styles
- transfer the images in S into the style of T
- transfer source images into the target style
- By jointly optimizing all modules, CycleGAN model is able to transfer source images into the target sytle and v.v.
- We take the S->T direction as an example, and the other direction can be similarly applied.
- After the model is learnt, source images can only be translated to a fixed style
2.1.3 Disadvantage
- Most previous studies for GAN-baed Image-to-Image translation methods rely on various forms of cycle-consistency.
2.2 Domain Adaption
2.2.1 Word
- source domain 源域
- target domain 目標域
- intermediate domain 中間域
- generalization ability 生成能力
- domainness variable 鄰域變量
- pixel level
- synthetic data 合成數據
- real scenario 真實場景
- be proportional to 和…成比例
- recover … from …
- be implemented with 被實施
- spread along … from … to …
- cross-domain semantic segmentation problem
- a mixture of different target styles
- shift from … to …
- domain gap
- domain alignment
- distribution difference
- semantic constraint 語義約束
2.2.2 Advantage
- Domain adaptation aims to utilize a labeled source domain to learn a model that performs well on an unlabeled target domain
- Domain generalization aims to learn a model that could be generalized to an unseen target domain by using multiple labeled source domains
- align the image distributions for two domains
- Object function of GAN can be seen as a lower bound of the Hessen-Shannon divergence
- translate each source image into an arbitrary intermediate domain
- Unsupersived domain adaption seeks to adapt the model trained on the source domain to the target domain.
- Self-ensembling is composed of a teacher and a student network, where the student is compelled to produce consistent predictions provided by the teacher on target data.
2.2.3 Disadvantage
- require a large amount of data with pixel-level annotations
- The adversarial loss may trigger a negative transfer, which aligns the target feature with the source feature in an incorrect semantic category.
2.3 Style Transfer
2.3.1 Word
- style patterns
- the iterative optimization process
- feedforward methods
- insufficient visual quality
- global feature statistics
- in the feature space
- encoder-decoder module
- global color distribution
- texture
- local style patterns
- bush strokes
- receptive field
2.3.2 Sentence
- Arbitrary style transfer aims to synthesize a content image with the style of an image to create a third image that has never been seen before.
- The ultimate goal of arbitrary style transfer is to simultaneously achieve and preserve generation, quality, and efficiency.
- We use the encoder(a pre-trained VGG-19) to compute the loss function for training …
3. 常用短語
- draw increasing attention
- most existing works
- the benefit of
- training phase 訓練階段
- inference phase 測試階段
- be injected into 被注入
- perform… by …
- network structure
- tent to
- at the beginning
- at the end
- each of sth
- computer vision tasks
- achieve good performance
- fill the gap between … and …
- conduct experiments on
- training policy
- verify the ability of
- as expectedoop
- give comparable result
- by further using
- from the first column, …
- find it challenging to …
- the seminal work of …的開創性工作
- computational cost of …
- computationally expensive operations
- the proposed model
- network structure
- experimental settings
- less appealing
- run time performance
- in real time
- be compelled to 被迫
3.1 Solve the problem
- To adress this challenging issue
- To overcome this limitation
4. 常用銜接語
- on one hand…, on the other hand
- Unlike the above work
- Our work is partialy inspired by
- Formally, …
- In particular, …
- In this way, …
- When …, …; and when, …
- no longer aim to …, but to …
- Specifically
- Due to the usage of …
- With regard to …
- The motivation is as follows, …
- Accordingly, …
- In other words, …
- In this section, …
- It can be observed that
- More interestingly, …
- As discussed in
- Note, …
- In this paper, …
- Experimental results demonstrate that …
- Significant efforts have been made to …
- Despite valuable efforts
- Despite recent advances, …
- In many cases, …
- Similar to …
5. 長句型
- Specifically, we introduce two discriminators, to distinguish and S, and **to **distinguish and T, respectively.
- … in two settings. In the first setting, … . In the second setting, … .
- Two cases are considered, … . For the first case, … . For the second case, … .
- … in two scenarios. Firstly, … . Secondly, … .
References
- Choi, Jaehoon & Kim, Taekyung & Kim, Changick. (2019). Self-Ensembling with GAN-based Data Augmentation for Domain Adaptation in Semantic Segmentation.
本文爲作者原創,轉載需註明出處!