User profiles for Atif Belal
Atif BelalStudent, Ecole de Technologie Superieur Verified email at ens.etsmtl.ca Cited by 134 |
Unsupervised multi-target domain adaptation through knowledge distillation
Unsupervised domain adaptation (UDA) seeks to alleviate the problem of domain shift
between the distribution of unlabeled data from the target domain wrt labeled data from the …
between the distribution of unlabeled data from the target domain wrt labeled data from the …
Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher
Adapting visual object detectors to operational target domains is a challenging task, commonly
achieved using unsupervised domain adaptation (UDA) methods. Recent studies have …
achieved using unsupervised domain adaptation (UDA) methods. Recent studies have …
Knowledge distillation methods for efficient unsupervised adaptation across multiple domains
Beyond the complexity of CNNs that require training on large annotated datasets, the domain
shift between design and operational data has limited the adoption of CNNs in many real-…
shift between design and operational data has limited the adoption of CNNs in many real-…
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptive Object Detection
Domain adaptation methods for object detection (OD) strive to mitigate the impact of
distribution shifts by promoting feature alignment across source and target domains. Multi-source …
distribution shifts by promoting feature alignment across source and target domains. Multi-source …
Visual Modality Prompt for Adapting Vision-Language Object Detectors
HR Medeiros, A Belal, S Muralidharan… - arXiv preprint arXiv …, 2024 - arxiv.org
The zero-shot performance of object detectors degrades when tested on different modalities,
such as infrared and depth. While recent work has explored image translation techniques to …
such as infrared and depth. While recent work has explored image translation techniques to …
[PDF][PDF] Multi-Source Domain Adaptation for Object Detection with Prototype-based Mean Teacher-Supplementary Material
… Atif Belal1, Akhil Meethal1, Francisco Perdigon Romero2, Marco Pedersoli1, Eric
Granger1 1 LIVIA, Dept. of Systems Engineering, ETS Montreal, Canada 2 GAIA Montreal …
Granger1 1 LIVIA, Dept. of Systems Engineering, ETS Montreal, Canada 2 GAIA Montreal …
Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains
Beyond the complexity of CNNs that require training on large annotated datasets, the domain
shift between design and operational data has limited the adoption of CNNs in many real-…
shift between design and operational data has limited the adoption of CNNs in many real-…
Phosphate-Solubilizing Bacteria as a Panacea to Alleviate Stress Effects of High Soil CaCO3 Content in Phaseolus vulgaris with Special Reference to P-Releasing …
The present study examines the role of leguminous compost (LC), humic acids (HA), and
phosphate-solubilizing bacteria (P-SB) in alleviating the stress effects of high soil CaCO 3 …
phosphate-solubilizing bacteria (P-SB) in alleviating the stress effects of high soil CaCO 3 …
Alpha proteobacteria of genus Anaplasma (Rickettsiales: Anaplasmataceae): Epidemiology and characteristics of Anaplasma species related to veterinary and public …
FA Atif - Parasitology, 2016 - cambridge.org
… is also effective against horses and other ruminants (Atif et al. 2012… marginale infection in
cattle (Atif et al. 2012… marginale infection (Atif et al. 2013). Other farm management factors …
cattle (Atif et al. 2012… marginale infection (Atif et al. 2013). Other farm management factors …
[PDF][PDF] Knowledge Distillation Methods for Efficient Unsupervised Adaptation Across Multiple Domains
LA Blais-Morin, E Granger - researchgate.net
Beyond the complexity of CNNs that require training on large annotated datasets, the domain
shift between design and operational data has limited the adoption of CNNs in many real-…
shift between design and operational data has limited the adoption of CNNs in many real-…