33 citations · 72 across the 25 of their papers we have counts for
5 papers · 1 filter
Prototypical quadruplet for few-shot class incremental learning
Sanchar Palit, Biplab Banerjee, Subhasis Chaudhuri
Scarcity of data and incremental learning of new tasks pose two major bottlenecks for many modern computer vision algorithms. The phenomenon of catastrophic forgetting, i.e., the m…
RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework
Advait Kumar, Dipesh Tamboli, Shivam Pande +1
We tackle the problem of image inpainting in the remote sensing domain. Remote sensing images possess high resolution and geographical variations, that render the conventional inpa…
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR
Ushasi Chaudhuri, Ruchika Chavan, Biplab Banerjee +2
The efficacy of zero-shot sketch-based image retrieval (ZS-SBIR) models is governed by two challenges. The immense distributions-gap between the sketches and the images requires a…
FRIDA -- Generative Feature Replay for Incremental Domain Adaptation
Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan +3
We tackle the novel problem of incremental unsupervised domain adaptation (IDA) in this paper. We assume that a labeled source domain and different unlabeled target domains are inc…
Zero-Shot Sketch Based Image Retrieval using Graph Transformer
Sumrit Gupta, Ushasi Chaudhuri, Biplab Banerjee
The performance of a zero-shot sketch-based image retrieval (ZS-SBIR) task is primarily affected by two challenges. The substantial domain gap between image and sketch features nee…