Search Results for author: Mustafa Chasmai

Found 6 papers, 4 papers with code

Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs

1 code implementation7 Oct 2022 Prashant Pandey, Aleti Vardhan, Mustafa Chasmai, Tanuj Sur, Brejesh lall

We show that our framework is more robust compared to traditional adversarial defense mechanisms such as adversarial training.

Adversarial Defense Few-Shot Learning +2

Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs

1 code implementation26 Aug 2022 Prashant Pandey, Mustafa Chasmai, Tanuj Sur, Brejesh lall

We further demonstrate that while many existing Deep CNN based methods tend to be extremely vulnerable to adversarial attacks, R-PNODE exhibits increased adversarial robustness for a wide array of these attacks.

Adversarial Robustness Few-Shot Learning +3

A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation

1 code implementation27 Feb 2023 Prashant Pandey, Mustafa Chasmai, Monish Natarajan, Brejesh lall

To this end, we propose a novel unified weakly supervised OVSS pipeline that can perform ZSS, FSS and Cross-dataset segmentation on novel classes without using pixel-level labels for either the base (seen) or the novel (unseen) classes in an inductive setting.

Few-Shot Semantic Segmentation Language Modelling +4

A View Independent Classification Framework for Yoga Postures

no code implementations27 Jun 2022 Mustafa Chasmai, Nirjhar Das, Aman Bhardwaj, Rahul Garg

We argue that for most of the applications, validation accuracies on unseen subjects and unseen camera angles would be most important.

Classification Pose Estimation +1

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