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Soma Biswas

20 papers hereh-index 293k citations111 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author15

Across the 20 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • cs.CG1
same name
  • Soma Biswas — 5 papers, h 3
  • Soma Biswas — 4 papers, h 3
  • Soma Biswas — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092023
most citedPreserving Semantic Relations for Zero-Shot Learning

77 citations · 155 across the 20 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CV2019★ 4 cited

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…

cs.CV2019★ 2 cited

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…

cs.CV2019★ 4 cited

Unified Generator-Classifier for Efficient Zero-Shot Learning

Ayyappa Kumar Pambala, Titir Dutta, Soma Biswas

Generative models have achieved state-of-the-art performance for the zero-shot learning problem, but they require re-training the classifier every time a new object category is enc…

cs.CV2019

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.