Search Results for author: Biplab Banerjee

Found 23 papers, 4 papers with code

Zero-Shot Sketch Based Image Retrieval using Graph Transformer

no code implementations25 Jan 2022 Sumrit Gupta, Ushasi Chaudhuri, Biplab Banerjee

To bridge the domain gap between the visual features, we propose minimizing the Wasserstein distance between images and sketches in a learned domain-shared space.

Sketch-Based Image Retrieval

FRIDA -- Generative Feature Replay for Incremental Domain Adaptation

no code implementations28 Dec 2021 Sayan Rakshit, Anwesh Mohanty, Ruchika Chavhan, Biplab Banerjee, Gemma Roig, Subhasis Chaudhuri

Inspired by the notion of generative feature replay, we propose a novel framework called Feature Replay based Incremental Domain Adaptation (FRIDA) which leverages a new incremental generative adversarial network (GAN) called domain-generic auxiliary classification GAN (DGAC-GAN) for producing domain-specific feature representations seamlessly.

Unsupervised Domain Adaptation

Two Headed Dragons: Multimodal Fusion and Cross Modal Transactions

no code implementations24 Jul 2021 Rupak Bose, Shivam Pande, Biplab Banerjee

The model is composed of stacked auto encoders that harness the cross key-value pairs for HSI and LiDAR, thus establishing a communication between the two modalities, while simultaneously using the CNNs to extract the spectral and spatial information from HSI and LiDAR.

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

no code implementations20 Apr 2021 Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu

While we define a cross-modal triplet loss to ensure the discriminative nature of the shared space, an innovative cross-modal attention learning strategy is also proposed to guide feature extraction from the image domain exploiting information from the respective sketch counterpart.

Sketch-Based Image Retrieval Zero-Shot Learning

Trusting small training dataset for supervised change detection

no code implementations9 Apr 2021 Sudipan Saha, Biplab Banerjee, Xiao Xiang Zhu

Deep learning (DL) based supervised change detection (CD) models require large labeled training data.

Change Detection

Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification

no code implementations25 Oct 2020 Ayush Bhardwaj, Sakshee Pimpale, Saurabh Kumar, Biplab Banerjee

We demonstrate the effectiveness of the proposed method via various experiments on how it allows us to obtain a much smaller model, which takes a minimal hit in performance while being capable of open set recognition for 3D point cloud data.

3D Point Cloud Classification General Classification +4

A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning

no code implementations5 Oct 2020 Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu, Subhasis Chaudhuri

We deal with the problem of generating textual captions from optical remote sensing (RS) images using the notion of deep reinforcement learning.

Image Captioning

Multimodal Noisy Segmentation based fragmented burn scars identification in Amazon Rainforest

no code implementations10 Sep 2020 Satyam Mohla, Sidharth Mohla, Anupam Guha, Biplab Banerjee

However, the task to segment burn marks is difficult because of its indistinguishably with similar looking land patterns, severe fragmented nature of burn marks and partially labelled noisy datasets.

A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images

1 code implementation12 Aug 2020 Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu

We perform a thorough bench-marking of this dataset and demonstrate that the proposed network outperforms other state-of-the-art methods for zero-shot sketch-based retrieval framework in remote sensing.

Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks

no code implementations31 Jul 2020 Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu, Biplab Banerjee

Existing visualization methods develop high confidence images consisting of both background and foreground features.

Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias

1 code implementation25 Jun 2020 Satyam Mohla, Anshul Nasery, Biplab Banerjee

Recent experiments in computer vision demonstrate texture bias as the primary reason for supreme results in models employing Convolutional Neural Networks (CNNs), conflicting with early works claiming that these networks identify objects using shape.

Object Recognition

Discriminative Dictionary Design for Action Classification in Still Images and Videos

no code implementations20 May 2020 Abhinaba Roy, Biplab Banerjee, Amir Hussain, Soujanya Poria

Specifically, we pose the selection of potent local descriptors as filtering based feature selection problem which ranks the local features per category based on a novel measure of distinctiveness.

Action Classification Action Recognition +1

Generative Model-driven Structure Aligning Discriminative Embeddings for Transductive Zero-shot Learning

no code implementations9 May 2020 Omkar Gune, Mainak Pal, Preeti Mukherjee, Biplab Banerjee, Subhasis Chaudhuri

We propose a transductive approach to reduce the effect of domain shift, where we utilize unlabeled visual data from unseen classes to generate corresponding semantic features for unseen class visual samples.

Transfer Learning Zero-Shot Learning

Distilling Spikes: Knowledge Distillation in Spiking Neural Networks

no code implementations1 May 2020 Ravi Kumar Kushawaha, Saurabh Kumar, Biplab Banerjee, Rajbabu Velmurugan

We also present a multi-stage knowledge distillation technique for SNNs using an intermediate network to obtain higher performance from the student network.

Knowledge Distillation Model Compression

LEt-SNE: A Hybrid Approach To Data Embedding and Visualization of Hyperspectral Imagery

2 code implementations19 Oct 2019 Megh Shukla, Biplab Banerjee, Krishna Mohan Buddhiraju

Some popular techniques among these falter when applied to Hyperspectral Imagery due to the famed curse of dimensionality.

Dimensionality Reduction

Online Sensor Hallucination via Knowledge Distillation for Multimodal Image Classification

no code implementations28 Aug 2019 Saurabh Kumar, Biplab Banerjee, Subhasis Chaudhuri

We deal with the problem of information fusion driven satellite image/scene classification and propose a generic hallucination architecture considering that all the available sensor information are present during training while some of the image modalities may be absent while testing.

Decision Making General Classification +4

CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing

1 code implementation9 Apr 2019 Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya, Mihai Datcu

In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-spectral imagery, and ii) multi-label image retrieval between very high resolution (VHR) images and speech based label annotations.

Cross-Modal Information Retrieval Cross-Modal Retrieval +2

Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization

no code implementations4 Aug 2017 Akashdeep Goel, Biplab Banerjee, Aleksandra Pizurica

We address the problem of scene classification from optical remote sensing (RS) images based on the paradigm of hierarchical metric learning.

Metric Learning Scene Classification +1

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