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1. Chest-Image-classification Chest-Image-classification Public

   We design a lightweight CNN architecture for the chest x-ray classi-32 fication task by introducing ExLNet which uses a novel DCISE blocks to reduce the33 computational burden. We show the effectiv…

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2. Modelling_Viscoelastic_Objects Modelling_Viscoelastic_Objects Public

   This paper proposes an alternative data-driven hap- tic modeling method of homogeneous deformable objects based on a CatBoost approach – a variant of gradient boosting machine learning approach. In…

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3. Image-Anonymization-using-Adversarial-Attacks Image-Anonymization-using-Adversarial-Attacks Public

   The Fast Gradient Sign Method (FGSM) combines a white box approach with a misclassification goal. It tricks a neural network model into making wrong predictions. We use this technique to anonymize …

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4. Number_Plate_detection-using-YOLO-v7 Number_Plate_detection-using-YOLO-v7 Public

   YOLOv7 is the new state-of-the-art object detector in the YOLO family. According to the paper, it is the fastest and most accurate real-time object detector to date. According to the YOLOv7 paper, …

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5. Transformers-Applications Transformers-Applications Public

   A transformer is a deep learning model. It is distinguished by its adoption of self-attention, differentially weighting the significance of each part of the input (which includes the recursive outp…

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6. Bias-Mitigation-using-Knowledge-Distillation Bias-Mitigation-using-Knowledge-Distillation Public

   A teacher model with minimal bias or calibrate its outputs to reduce bias transfer during distillation. Focus on distilling information from teacher features that are less prone to bias, like seman…

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