Opening book details…
Can I read DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning on EtoBox?
DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning by Hyounguk Shon; Janghyeon Lee; Seung Hwan Kim; Junmo Kim is a book available to read on EtoBox.
What is DLCFT: Deep Linear Continual Fine-Tuning for General Incremental Learning about?
The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.
- Author
- Hyounguk Shon; Janghyeon Lee; Seung Hwan Kim; Junmo Kim
- Publisher
- Springer Nature Switzerland Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9788303119827
- Subjects
- Computer Science, Engineering, Stem
More by Hyounguk Shon; Janghyeon Lee; Seung Hwan Kim; Junmo Kim
Browse all works by Hyounguk Shon; Janghyeon Lee; Seung Hwan Kim; Junmo Kim
Similar books
- Continual Variational Autoencoder Learning via Online Cooperative Memorization — Fei Ye; Adrian G. Bors (2022)
- GigaDepth: Learning Depth from Structured Light with Branching Neural Networks — Simon Schreiberhuber; Jean-Baptiste Weibel; Timothy Patten; Markus Vincze (2022)
- Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer — Songwei Ge; Thomas Hayes; Harry Yang; Xi Yin; Guan Pang; David Jacobs; Jia-Bin Huang; Devi Parikh (2022)
- VQGAN-CLIP: Open Domain Image Generation and Editing with Natural Language Guidance — Katherine Crowson; Stella Biderman; Daniel Kornis; Dashiell Stander; Eric Hallahan; Louis Castricato; Edward Raff (2022)
- Unbiased Multi-modality Guidance for Image Inpainting — Yongsheng Yu; Dawei Du; Libo Zhang; Tiejian Luo (2022)
- NeXT: Towards High Quality Neural Radiance Fields via Multi-skip Transformer — Yunxiao Wang; Yanjie Li; Peidong Liu; Tao Dai; Shu-Tao Xia (2022)