33 citations · 50 across the 6 of their papers we have counts for
6 papers
A Novel Incremental Cross-Modal Hashing Approach
Devraj Mandal, Soma Biswas
Cross-modal retrieval deals with retrieving relevant items from one modality, when provided with a search query from another modality. Hashing techniques, where the data is represe…
A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels
Devraj Mandal, Shrisha Bharadwaj, Soma Biswas
The major driving force behind the immense success of deep learning models is the availability of large datasets along with their clean labels. Unfortunately, this is very difficul…
Label Prediction Framework for Semi-Supervised Cross-Modal Retrieval
Devraj Mandal, Pramod Rao, Soma Biswas
Cross-modal data matching refers to retrieval of data from one modality, when given a query from another modality. In general, supervised algorithms achieve better retrieval perfor…
Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
Devraj Mandal, Sanath Narayan, Saikumar Dwivedi +4
Generalized zero-shot action recognition is a challenging problem, where the task is to recognize new action categories that are unavailable during the training stage, in addition…
Multi-class Novelty Detection Using Mix-up Technique
Supritam Bhattacharjee, Devraj Mandal, Soma Biswas
Multi-class novelty detection is increasingly becoming an important area of research due to the continuous increase in the number of object categories. It tries to answer the perti…
Semi-Supervised Cross-Modal Retrieval with Label Prediction
Devraj Mandal, Pramod Rao, Soma Biswas
Due to abundance of data from multiple modalities, cross-modal retrieval tasks with image-text, audio-image, etc. are gaining increasing importance. Of the different approaches pro…