Results 1 to 10 of about 142,675 (313)

Online Clustered Codebook [PDF]

open access: yes2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
Vector Quantisation (VQ) is experiencing a comeback in machine learning, where it is increasingly used in representation learning. However, optimizing the codevectors in existing VQ-VAE is not entirely trivial. A problem is codebook collapse, where only a small subset of codevectors receive gradients useful for their optimisation, whereas a majority of
Zheng, C, Vedaldi, A
openaire   +3 more sources

Codebook / Data Dictionary TCoA

open access: green, 2017
This codebook/data dictionary provides users of the Teacher Conceptions of Assessment Inventory details of the structure of the data files used to analyse the New Zealand data. This codebook needs to be read in conjunction with the following complementary files: 1. The Teacher Conceptions of Assessment Questionnaire or Inventory a. Long with 50 items b.
Brown Gavin
openaire   +2 more sources

Towards Robust Blind Face Restoration with Codebook Lookup Transformer [PDF]

open access: yesNeural Information Processing Systems, 2022
Blind face restoration is a highly ill-posed problem that often requires auxiliary guidance to 1) improve the mapping from degraded inputs to desired outputs, or 2) complement high-quality details lost in the inputs.
Shangchen Zhou   +3 more
semanticscholar   +1 more source

Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding [PDF]

open access: yesIUI Companion, 2023
Qualitative analysis of textual contents unpacks rich and valuable information by assigning labels to the data. However, this process is often labor-intensive, particularly when working with large datasets. While recent AI-based tools demonstrate utility,
Ziang Xiao   +4 more
semanticscholar   +1 more source

RIDCP: Revitalizing Real Image Dehazing via High-Quality Codebook Priors [PDF]

open access: yesComputer Vision and Pattern Recognition, 2023
Existing dehazing approaches struggle to process real-world hazy images owing to the lack of paired real data and robust priors. In this work, we present a new paradigm for real image dehazing from the perspectives of synthesizing more realistic hazy ...
Ruixia Wu   +4 more
semanticscholar   +1 more source

Robust Semantic Communications With Masked VQ-VAE Enabled Codebook [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2022
Although semantic communications have exhibited satisfactory performance on a large number of tasks, the impact of semantic noise and the robustness of the systems have not been well investigated.
Qiyu Hu   +5 more
semanticscholar   +1 more source

Codebook-Based Solutions for Reconfigurable Intelligent Surfaces and Their Open Challenges [PDF]

open access: yesIEEE wireless communications, 2022
Reconfigurable intelligent surfaces (RIS) is a revolutionary technology to cost-effectively improve the performance of wireless networks. We first review the existing framework of channel estimation and passive beamforming (CE & PBF) in RIS-assisted ...
Jiancheng An   +6 more
semanticscholar   +1 more source

Near-Field Beam Training: Joint Angle and Range Estimation With DFT Codebook [PDF]

open access: yesIEEE Transactions on Wireless Communications, 2023
Prior works on near-field beam training have mostly assumed dedicated polar-domain codebook and on-grid range estimation, which, however, may suffer long training overhead, high codebook storage requirement, and degraded estimation accuracy.
Xun Wu   +3 more
semanticscholar   +1 more source

Environment-Aware Codebook for Reconfigurable Intelligent Surface-Aided MISO Communications [PDF]

open access: yesIEEE Wireless Communications Letters, 2023
Reconfigurable intelligent surface (RIS) is a revolutionary technology that can customize the wireless channel and improve the energy efficiency of next-generation cellular networks.
Xing Jia   +5 more
semanticscholar   +1 more source

PeCo: Perceptual Codebook for BERT Pre-training of Vision Transformers [PDF]

open access: yesAAAI Conference on Artificial Intelligence, 2021
This paper explores a better prediction target for BERT pre-training of vision transformers. We observe that current prediction targets disagree with human perception judgment. This contradiction motivates us to learn a perceptual prediction target.
Xiaoyi Dong   +8 more
semanticscholar   +1 more source

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