48 citations · 93 across the 10 of their papers we have counts for
11 papers
Online Lifelong Generalized Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Methods proposed in the literature for zero-shot learning (ZSL) are typically suitable for offline learning and cannot continually learn from sequential streaming data. The sequent…
Generative Replay-based Continual Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Zero-shot learning is a new paradigm to classify objects from classes that are not available at training time. Zero-shot learning (ZSL) methods have attracted considerable attentio…
Meta-Cognition-Based Simple And Effective Approach To Object Detection
Sannidhi P Kumar, Chandan Gautam, Suresh Sundaram
Recently, many researchers have attempted to improve deep learning-based object detection models, both in terms of accuracy and operational speeds. However, frequently, there is a…
Minimum Variance Embedded Auto-associative Kernel Extreme Learning Machine for One-class Classification
Pratik K. Mishra, Chandan Gautam, Aruna Tiwari
One-class classification (OCC) needs samples from only a single class to train the classifier. Recently, an auto-associative kernel extreme learning machine was developed for the O…
Generalized Continual Zero-Shot Learning
Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra +1
Recently, zero-shot learning (ZSL) emerged as an exciting topic and attracted a lot of attention. ZSL aims to classify unseen classes by transferring the knowledge from seen classe…
OCKELM+: Kernel Extreme Learning Machine based One-class Classification using Privileged Information (or KOC+: Kernel Ridge Regression or Least Square SVM with zero bias based One-class Classification using Privileged Information)
Chandan Gautam, Aruna Tiwari, M. Tanveer
Kernel method-based one-class classifier is mainly used for outlier or novelty detection. In this letter, kernel ridge regression (KRR) based one-class classifier (KOC) has been ex…