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20192025
most citedCrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval

33 citations · 44 across the 19 of their papers we have counts for

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15 papers · 1 filter

cs.CV2025

Local-Global Context-Aware and Structure-Preserving Image Super-Resolution

Sanchar Palit, Subhasis Chaudhuri, Biplab Banerjee

Diffusion models have recently achieved significant success in various image manipulation tasks, including image super-resolution and perceptual quality enhancement. Pretrained tex…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2022

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…

cs.CV2021

A distillation based approach for the diagnosis of diseases

Hmrishav Bandyopadhyay, Shuvayan Ghosh Dastidar, Bisakh Mondal +2

Presently, Covid-19 is a serious threat to the world at large. Efforts are being made to reduce disease screening times and in the development of a vaccine to resist this disease,…