Search Results for author:
Found 6 papers, 3 papers with code
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis
The domain of online learning has experienced multifaceted expansion owing to its prevalence in real-life applications.
Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols
Dense Video Captioning (DVC) aims at detecting and describing different events in a given video.
Modelling Irregularly Sampled Time Series Without Imputation
Modelling irregularly-sampled time series (ISTS) is challenging because of missing values.
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts
Many real-world applications based on online learning produce streaming data that is haphazard in nature, i. e., contains missing features, features becoming obsolete in time, the appearance of new features at later points in time and a lack of clarity on the total number of input features.
MABNet: Master Assistant Buddy Network with Hybrid Learning for Image Retrieval
We present a novel Master Assistant Buddy Network (MABNet) for image retrieval which incorporates both learning mechanisms.
MiShape: 3D Shape Modelling of Mitochondria in Microscopy
Fluorescence microscopy is a quintessential tool for observing cells and understanding the underlying mechanisms of life-sustaining processes of all living organisms.
