Search Results for author: Atmadeep Banerjee

Found 7 papers, 3 papers with code

TriSAM: Tri-Plane SAM for zero-shot cortical blood vessel segmentation in VEM images

no code implementations25 Jan 2024 Jia Wan, Wanhua Li, Atmadeep Banerjee, Jason Ken Adhinarta, Evelina Sjostedt, Jingpeng Wu, Jeff Lichtman, Hanspeter Pfister, Donglai Wei

Furthermore, we developed a zero-shot cortical blood vessel segmentation method named TriSAM, which leverages the powerful segmentation model SAM for 3D segmentation.

Benchmarking Segmentation

CascadeXML: Rethinking Transformers for End-to-end Multi-resolution Training in Extreme Multi-label Classification

no code implementations29 Oct 2022 Siddhant Kharbanda, Atmadeep Banerjee, Erik Schultheis, Rohit Babbar

We thus propose CascadeXML, an end-to-end multi-resolution learning pipeline, which can harness the multi-layered architecture of a transformer model for attending to different label resolutions with separate feature representations.

Extreme Multi-Label Classification Multi Label Text Classification +2

InceptionXML: A Lightweight Framework with Synchronized Negative Sampling for Short Text Extreme Classification

no code implementations13 Sep 2021 Siddhant Kharbanda, Atmadeep Banerjee, Akash Palrecha, Devaansh Gupta, Rohit Babbar

Automatic annotation of short-text data to a large number of target labels, referred to as Short Text Extreme Classification, has found numerous applications including prediction of related searches and product recommendation tasks.

Product Recommendation text-classification +2

Meta-DRN: Meta-Learning for 1-Shot Image Segmentation

no code implementations1 Aug 2020 Atmadeep Banerjee

In this paper, we propose a novel lightweight CNN architecture for 1-shot image segmentation.

Few-Shot Learning Image Classification +3

MXR-U-Nets for Real Time Hyperspectral Reconstruction

2 code implementations15 Apr 2020 Atmadeep Banerjee, Akash Palrecha

In recent times, CNNs have made significant contributions to applications in image generation, super-resolution and style transfer.

Image Generation Style Transfer +1

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