Results 241 to 250 of about 113,679 (360)
Feature pyramid attention network for audio‐visual scene classification
CAAI Transactions on Intelligence Technology, Volume 10, Issue 2, Page 359-374, April 2025.Abstract Audio‐visual scene classification (AVSC) poses a formidable challenge owing to the intricate spatial‐temporal relationships exhibited by audio‐visual signals, coupled with the complex spatial patterns of objects and textures found in visual images.
Liguang Zhou +5 more
wiley +1 more source
Laplacian attention: A plug‐and‐play algorithm without increasing model complexity for vision tasks
CAAI Transactions on Intelligence Technology, Volume 10, Issue 2, Page 545-556, April 2025.Abstract Most prevailing attention mechanism modules in contemporary research are convolution‐based modules, and while these modules contribute to enhancing the accuracy of deep learning networks in visual tasks, they concurrently augment the overall model complexity.
Xiaolei Chen, Yubing Lu, Runyu Wen
wiley +1 more source
Determining the Failure Rate of Direct Restorations-Chart Review versus Electronic Health Record Reports. [PDF]
Dent J (Basel)Patel P +4 more
europepmc +1 more source
Contrastive learning for nested Chinese Named Entity Recognition via template words
CAAI Transactions on Intelligence Technology, Volume 10, Issue 2, Page 450-459, April 2025.Abstract Existing Chinese named entity recognition (NER) research utilises 1D lexicon‐based sequence labelling frameworks, which can only recognise flat entities. While lexicons serve as prior knowledge and enhance semantic information, they also pose completeness and resource requirements limitations.
Yuke Wang +5 more
wiley +1 more source
(92) Diaphragm Type Amalgam Caustic-chlorine Cell with Dilute Electrolytes.
, 1955 Taizo Kume, Masaru Okada
openalex +2 more sources
A Finite Element Method Study of Stress Distribution in Dental Hard Tissues: Impact of Access Cavity Design and Restoration Material. [PDF]
Bioengineering (Basel)Boțilă MR +6 more
europepmc +1 more source
Sep‐NMS: Unlocking the Aptitude of Two‐Stage Referring Expression Comprehension
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Referring expression comprehension (REC) aims to locate a specific region in an image described by a natural language. Existing two‐stage methods generate multiple candidate proposals in the first stage, followed by selecting one of these proposals as the grounding result in the second stage.
Jing Wang +4 more
wiley +1 more source