📝
Awesome reviews
  • Welcome
  • Paper review
    • [2022 Spring] Paper review
      • RobustNet [Eng]
      • DPT [Kor]
      • DALL-E [Kor]
      • VRT: A Video Restoration Transformer [Kor]
      • Barbershop [Kor]
      • Barbershop [Eng]
      • REFICS [ENG]
      • Deep texture manifold [Kor]
      • SlowFast Networks [Kor]
      • SCAN [Eng]
      • DPT [Kor]
      • Chaining a U-Net With a Residual U-Net for Retinal Blood Vessels Segmentation [Kor]
      • Chaining a U-Net With a Residual U-Net for Retinal Blood Vessels Segmentation [Eng]
      • Patch Cratf : Video Denoising by Deep Modeling and Patch Matching [Eng]
      • LAFITE: Towards Language-Free Training for Text-to-Image Generation [Kor]
      • RegSeg [Eng]
      • D-NeRF [Eng]
      • SimCLR [Kor]
      • LabOR [Kor]
      • LabOR [Eng]
      • SegFormer [Kor]
      • Self-Calibrating Neural Radiance Fields [Kor]
      • Self-Calibrating Neural Radiance Fields [Eng]
      • GIRAFFE [Kor]
      • GIRAFFE [Eng]
      • DistConv [Kor]
      • SCAN [Eng]
      • slowfastnetworks [Kor]
      • Nesterov and Scale-Invariant Attack [Kor]
      • OutlierExposure [Eng]
      • TSNs [Kor]
      • TSNs [Eng]
      • Improving the Transferability of Adversarial Samples With Adversarial Transformations [Kor]
      • VOS: OOD detection by Virtual Outlier Synthesis [Kor]
      • MultitaskNeuralProcess [Kor]
      • RSLAD [Eng]
      • Deep Learning for 3D Point Cloud Understanding: A Survey [Eng]
      • BEIT [Kor]
      • Divergence-aware Federated Self-Supervised Learning [Eng]
      • NeRF-W [Kor]
      • Learning Multi-Scale Photo Exposure Correction [Eng]
      • ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions [Eng]
      • ViT [Eng]
      • CrossTransformer [Kor]
      • NeRF [Kor]
      • RegNeRF [Kor]
      • Image Inpainting with External-internal Learning and Monochromic Bottleneck [Eng]
      • CLIP-NeRF [Kor]
      • CLIP-NeRF [Eng]
      • DINO: Emerging Properties in Self-Supervised Vision Transformers [Eng]
      • DINO: Emerging Properties in Self-Supervised Vision Transformers [Kor]
      • DatasetGAN [Eng]
      • MOS [Kor]
      • MOS [Eng]
      • PlaNet [Eng]
      • MAE [Kor]
      • Fair Attribute Classification through Latent Space De-biasing [Kor]
      • Fair Attribute Classification through Latent Space De-biasing [Eng]
      • Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning [Kor]
      • PointNet [Kor]
      • PointNet [Eng]
      • MSD AT [Kor]
      • MM-TTA [Kor]
      • MM-TTA [Eng]
      • M-CAM [Eng]
      • MipNerF [Kor]
      • The Emergence of Objectness: Learning Zero-Shot Segmentation from Videos [Eng]
      • Calibration [Eng]
      • CenterPoint [Kor]
      • YOLOX [Kor]
    • [2021 Fall] Paper review
      • DenseNet [Kor]
      • Time series as image [Kor]
      • mem3d [Kor]
      • GraSP [Kor]
      • DRLN [Kor]
      • VinVL: Revisiting Visual Representations in Vision-Language Models [Eng]
      • VinVL: Revisiting Visual Representations in Vision-Language Models [Kor]
      • NeSyXIL [Kor]
      • NeSyXIL [Eng]
      • RCAN [Kor]
      • RCAN [Eng]
      • MI-AOD [Kor]
      • MI-AOD [Eng]
      • DAFAS [Eng]
      • HyperGAN [Eng]
      • HyperGAN [Kor]
      • Scene Text Telescope: Text-focused Scene Image Super-Resolution [Eng]
      • Scene Text Telescope: Text-focused Scene Image Super-Resolution [Kor]
      • UPFlow [Eng]
      • GFP-GAN [Kor]
      • Federated Contrastive Learning [Kor]
      • Federated Contrastive Learning [Eng]
      • BGNN [Kor]
      • LP-KPN [Kor]
      • Feature Disruptive Attack [Kor]
      • Representative Interpretations [Kor]
      • Representative Interpretations [Eng]
      • Neural Discrete Representation Learning [KOR]
      • Neural Discrete Representation Learning [ENG]
      • Video Frame Interpolation via Adaptive Convolution [Kor]
      • Separation of hand motion and pose [kor]
      • pixelNeRF [Kor]
      • pixelNeRF [Eng]
      • SRResNet and SRGAN [Eng]
      • MZSR [Kor]
      • SANforSISR [Kor]
      • IPT [Kor]
      • Swin Transformer [kor]
      • CNN Cascade for Face Detection [Kor]
      • CapsNet [Kor]
      • Towards Better Generalization: Joint Depth-Pose Learning without PoseNet [Kor]
      • CSRNet [Kor]
      • ScrabbleGAN [Kor]
      • CenterTrack [Kor]
      • CenterTrack [Eng]
      • STSN [Kor]
      • STSN [Eng]
      • VL-BERT:Visual-Linguistic BERT [Kor]
      • VL-BERT:Visual-Linguistic BERT [Eng]
      • Squeeze-and-Attention Networks for Semantic segmentation [Kor]
      • Shot in the dark [Kor]
      • Noise2Self [Kor]
      • Noise2Self [Eng]
      • Dynamic Head [Kor]
      • PSPNet [Kor]
      • PSPNet [Eng]
      • CUT [Kor]
      • CLIP [Eng]
      • Local Implicit Image Function [Kor]
      • Local Implicit Image Function [Eng]
      • MetaAugment [Eng]
      • Show, Attend and Tell [Kor]
      • Transformer [Kor]
      • DETR [Eng]
      • Multimodal Versatile Network [Eng]
      • Multimodal Versatile Network [Kor]
      • BlockDrop [Kor]
      • MDETR [Kor]
      • MDETR [Eng]
      • FSCE [Kor]
      • waveletSR [Kor]
      • DAN-net [Eng]
      • Boosting Monocular Depth Estimation [Eng]
      • Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow [Kor]
      • Syn2real-generalization [Kor]
      • Syn2real-generalization [Eng]
      • GPS-Net [Kor]
      • Frustratingly Simple Few Shot Object Detection [Eng]
      • DCGAN [Kor]
      • RealSR [Kor]
      • AMP [Kor]
      • AMP [Eng]
      • RCNN [Kor]
      • MobileNet [Eng]
  • Author's note
    • [2022 Spring] Author's note
      • Pop-Out Motion [Kor]
    • [2021 Fall] Author's note
      • Standardized Max Logits [Eng]
      • Standardized Max Logits [Kor]
  • Dive into implementation
    • [2022 Spring] Implementation
      • Supervised Contrastive Replay [Kor]
      • Pose Recognition with Cascade Transformers [Eng]
    • [2021 Fall] Implementation
      • Diversity Input Method [Kor]
        • Source code
      • Diversity Input Method [Eng]
        • Source code
  • Contributors
    • [2022 Fall] Contributors
    • [2021 Fall] Contributors
  • How to contribute?
    • (Template) Paper review [Language]
    • (Template) Author's note [Language]
    • (Template) Implementation [Language]
  • KAIST AI
Powered by GitBook
On this page
  • Welcome
  • Awesome reviews by KAIST AI
  • Course information
  • License

Was this helpful?

Welcome

환영합니다.

Next[2022 Spring] Paper review

Last updated 2 years ago

Was this helpful?

Welcome

Awesome reviews by KAIST AI

2021년 가을학기부터, 한국과학기술원 AI604: 컴퓨터 비전을 위한 심층학습 기법 수업의 수강생이 작성한 딥러닝 논문 리뷰를 공개합니다.

우리나라 딥러닝 학계 / 산업계 모두의 발전을 위해, 논문 리뷰는 주로 우리말로 작성될 예정이며, 특히 아직 한국어로 정리 / 작성된 리뷰가 없는 최신 논문에 우선순위를 두고자 합니다.

단순한 논문 정리를 넘어, 유익한 정보 및 노하우 / 코드 구현 기술 등을 널리 알리기 위해 다양한 형태의 자료를 제공할 것입니다.

더욱 더 정확한 내용을 전달하기 위해, 모든 글은 수강생 간의 동료 평가를 거칠 예정입니다.

모든 자료는 https://awesome-davian.gitbook.io/awesome-reviews 에서 확인할 수 있습니다.

From the fall semester of 2021, the reviews written by KAIST AI604: Deep Learning for Computer Vision class students will be available on the Internet.

The articles will be mainly written in the Korean language in order to contribute to the deep learning community of Korea.

Also, we will focus on the up-to-date papers, which are not reviewed or summarized in the Korean language yet.

We prepared several types of articles for high-quality content, and these will cover a detailed explanation of the paper, know-how on research, and implementation of algorithm / modules with line-by-line descriptions.

To deliver accurate information, all contents are peer-reviewed by the students.

All articles are available at https://awesome-davian.gitbook.io/awesome-reviews.

Course information

이 프로젝트는 한국과학기술원 AI604: 컴퓨터 비전을 위한 심층학습 기법 수업의 강의자와 조교가 관리합니다.

The instructor and the teaching assistants of KAIST AI604: Deep Learning for Computer Vision class are in charge of this project.

Instructor

Teaching assistant

조영우 (Youngwoo Cho) : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)

박정훈 (Jeonghoon Park) : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)

박성현 (Sunghyun Park) : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)

이상현 (Sanghyeon Lee) : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)

박채훈 (Chaehoon Park) : Ph.D. student, Kim Jaechul Graduate School of AI, KAIST (contact)

License

이 프로젝트는 크리에이티브 커먼즈 저작자표시-동일조건변경허락 4.0 국제 라이선스를 사용합니다.

주재걸 (Jaegul Choo) : Associate Professor, Kim Jaechul Graduate School of AI, KAIST ()

See the file for license rights and limitations (cc-by-sa-4.0).

webpage
LICENSE
License: CC BY-SA 4.0