activity
20172025
most citedCMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing

66 citations · 174 across the 32 of their papers we have counts for

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Showing 2021Show all

5 papers · 1 filter

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,…

cs.CV2021

Two Headed Dragons: Multimodal Fusion and Cross Modal Transactions

Rupak Bose, Shivam Pande, Biplab Banerjee

As the field of remote sensing is evolving, we witness the accumulation of information from several modalities, such as multispectral (MS), hyperspectral (HSI), LiDAR etc. Each of…

cs.DC2021★ 5 cited

Federated Action Recognition on Heterogeneous Embedded Devices

Pranjal Jain, Shreyas Goenka, Saurabh Bagchi +2

Federated learning allows a large number of devices to jointly learn a model without sharing data. In this work, we enable clients with limited computing power to perform action re…

cs.CV2021★ 33 cited

CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval

Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya +1

We propose a novel framework for cross-modal zero-shot learning (ZSL) in the context of sketch-based image retrieval (SBIR). Conventionally, the SBIR schema mainly considers simult…

cs.LG2021

Trusting small training dataset for supervised change detection

Sudipan Saha, Biplab Banerjee, Xiao Xiang Zhu

Deep learning (DL) based supervised change detection (CD) models require large labeled training data. Due to the difficulty of collecting labeled multi-temporal data, unsupervised…