Search Results for author: Ammarah Farooq

Found 6 papers, 0 papers with code

MC-SSL0.0: Towards Multi-Concept Self-Supervised Learning

no code implementations30 Nov 2021 Sara Atito, Muhammad Awais, Ammarah Farooq, ZhenHua Feng, Josef Kittler

In this aspect the proposed SSL frame-work MC-SSL0. 0 is a step towards Multi-Concept Self-Supervised Learning (MC-SSL) that goes beyond modelling single dominant label in an image to effectively utilise the information from all the concepts present in it.

Image Classification Self-Supervised Learning +1

Global Interaction Modelling in Vision Transformer via Super Tokens

no code implementations25 Nov 2021 Ammarah Farooq, Muhammad Awais, Sara Ahmed, Josef Kittler

Hence, most of the learning is independent of the image patches $(N)$ in the higher layers, and the class embedding is learned solely based on the Super tokens $(N/M^2)$ where $M^2$ is the window size.

Image Classification Representation Learning

NPT-Loss: A Metric Loss with Implicit Mining for Face Recognition

no code implementations5 Mar 2021 Syed Safwan Khalid, Muhammad Awais, Chi-Ho Chan, ZhenHua Feng, Ammarah Farooq, Ali Akbari, Josef Kittler

One key ingredient of DCNN-based FR is the appropriate design of a loss function that ensures discrimination between various identities.

Face Recognition

A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation

no code implementations20 Oct 2020 Ali Akbari, Muhammad Awais, Zhen-Hua Feng, Ammarah Farooq, Josef Kittler

Compared with existing loss functions, the lower gradient of the proposed loss function leads to the convergence of SGD to a better optimum point, and consequently a better generalisation.

Age Estimation Benchmarking

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