25 citations · 66 across the 30 of their papers we have counts for
5 papers · 1 filter
A Unified Batch Selection Policy for Active Metric Learning
Priyadarshini K, Siddhartha Chaudhuri, Vivek Borkar +1
Active metric learning is the problem of incrementally selecting high-utility batches of training data (typically, ordered triplets) to annotate, in order to progressively improve…
Enhancing Haptic Distinguishability of Surface Materials with Boosting Technique
Priyadarshini K, Subhasis Chaudhuri
Discriminative features are crucial for several learning applications, such as object detection and classification. Neural networks are extensively used for extracting discriminati…
NENET: An Edge Learnable Network for Link Prediction in Scene Text
Mayank Kumar Singh, Sayan Banerjee, Shubhasis Chaudhuri
Text detection in scenes based on deep neural networks have shown promising results. Instead of using word bounding box regression, recent state-of-the-art methods have started foc…
On the Separability of Classes with the Cross-Entropy Loss Function
Rudrajit Das, Subhasis Chaudhuri
In this paper, we focus on the separability of classes with the cross-entropy loss function for classification problems by theoretically analyzing the intra-class distance and inte…
PerceptNet: Learning Perceptual Similarity of Haptic Textures in Presence of Unorderable Triplets
Priyadarshini Kumari, Siddhartha Chaudhuri, Subhasis Chaudhuri
In order to design haptic icons or build a haptic vocabulary, we require a set of easily distinguishable haptic signals to avoid perceptual ambiguity, which in turn requires a way…