Search Results for author: Rishubh Singh

Found 4 papers, 2 papers with code

Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision

no code implementations CVPR 2023 Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy

We show that our augmentations significantly improve classification accuracy and robustness measures on a range of datasets and neural architectures.

Classification Data Augmentation

Robustifying Deep Vision Models Through Shape Sensitization

no code implementations14 Nov 2022 Aditay Tripathi, Rishubh Singh, Anirban Chakraborty, Pradeep Shenoy

We also obtain gains of up to 28% and 8. 5% on natural adversarial and out-of-distribution datasets like ImageNet-A (for ViT-B) and ImageNet-R (for ViT-S), respectively.

Classification Data Augmentation

FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing

1 code implementation CVPR 2022 Rishubh Singh, Pranav Gupta, Pradeep Shenoy, Ravikiran Sarvadevabhatla

Our framework involves independent dense prediction of object category and part attributes which increases scalability and reduces task complexity compared to the monolithic label space counterpart.

Object Scene Parsing

How much complexity does an RNN architecture need to learn syntax-sensitive dependencies?

1 code implementation ACL 2020 Gantavya Bhatt, Hritik Bansal, Rishubh Singh, Sumeet Agarwal

Long short-term memory (LSTM) networks and their variants are capable of encapsulating long-range dependencies, which is evident from their performance on a variety of linguistic tasks.

Ranked #35 on Language Modelling on WikiText-103 (Validation perplexity metric)

Language Modelling Sentence

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