66 citations · 174 across the 32 of their papers we have counts for
9 papers · 1 filter
Empowering Knowledge Distillation via Open Set Recognition for Robust 3D Point Cloud Classification
Ayush Bhardwaj, Sakshee Pimpale, Saurabh Kumar +1
Real-world scenarios pose several challenges to deep learning based computer vision techniques despite their tremendous success in research. Deeper models provide better performanc…
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning
Ruchika Chavhan, Biplab Banerjee, Xiao Xiang Zhu +1
We deal with the problem of generating textual captions from optical remote sensing (RS) images using the notion of deep reinforcement learning. Due to the high inter-class similar…
Multimodal Noisy Segmentation based fragmented burn scars identification in Amazon Rainforest
Satyam Mohla, Sidharth Mohla, Anupam Guha +1
Detection of burn marks due to wildfires in inaccessible rain forests is important for various disaster management and ecological studies. The fragmented nature of arable landscape…
A Zero-Shot Sketch-based Inter-Modal Object Retrieval Scheme for Remote Sensing Images
Ushasi Chaudhuri, Biplab Banerjee, Avik Bhattacharya +1
Conventional existing retrieval methods in remote sensing (RS) are often based on a uni-modal data retrieval framework. In this work, we propose a novel inter-modal triplet-based z…
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks
Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu +1
In this paper, we propose a data-free method of extracting Impressions of each class from the classifier's memory. The Deep Learning regime empowers classifiers to extract distinct…
Discriminative Dictionary Design for Action Classification in Still Images and Videos
Abhinaba Roy, Biplab Banerjee, Amir Hussain +1
In this paper, we address the problem of action recognition from still images and videos. Traditional local features such as SIFT, STIP etc. invariably pose two potential problems:…
Teaching CNNs to mimic Human Visual Cognitive Process & regularise Texture-Shape bias
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…
Generative Model-driven Structure Aligning Discriminative Embeddings for Transductive Zero-shot Learning
Omkar Gune, Mainak Pal, Preeti Mukherjee +2
Zero-shot Learning (ZSL) is a transfer learning technique which aims at transferring knowledge from seen classes to unseen classes. This knowledge transfer is possible because of u…
Distilling Spikes: Knowledge Distillation in Spiking Neural Networks
Ravi Kumar Kushawaha, Saurabh Kumar, Biplab Banerjee +1
Spiking Neural Networks (SNN) are energy-efficient computing architectures that exchange spikes for processing information, unlike classical Artificial Neural Networks (ANN). Due t…