10 citations · 20 across the 3 of their papers we have counts for
8 papers · 1 filter
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…
Towards Zero-Shot Learning with Fewer Seen Class Examples
Vinay Kumar Verma, Ashish Mishra, Anubha Pandey +2
We present a meta-learning based generative model for zero-shot learning (ZSL) towards a challenging setting when the number of training examples from each \emph{seen} class is ver…
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…
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
Anubha Pandey, Ashish Mishra, Vinay Kumar Verma +2
Conventional approaches to Sketch-Based Image Retrieval (SBIR) assume that the data of all the classes are available during training. The assumption may not always be practical sin…
Generative Model for Zero-Shot Sketch-Based Image Retrieval
Vinay Kumar Verma, Aakansha Mishra, Ashish Mishra +1
We present a probabilistic model for Sketch-Based Image Retrieval (SBIR) where, at retrieval time, we are given sketches from novel classes, that were not present at training time.…
A Zero-Shot Framework for Sketch-based Image Retrieval
Sasi Kiran Yelamarthi, Shiva Krishna Reddy, Ashish Mishra +1
Sketch-based image retrieval (SBIR) is the task of retrieving images from a natural image database that correspond to a given hand-drawn sketch. Ideally, an SBIR model should learn…