7 papers
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies
Shalini Sarode, Muhammad Saif Ullah Khan, Tahira Shehzadi +2
We propose ClassroomKD, a novel multi-mentor knowledge distillation framework inspired by classroom environments to enhance knowledge transfer between the student and multiple ment…
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
Tahira Shehzadi, Ifza, Didier Stricker +1
The impressive advancements in semi-supervised learning have driven researchers to explore its potential in object detection tasks within the field of computer vision. Semi-Supervi…
Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification
Muhammad Saif Ullah Khan, Tahira Shehzadi, Rabeya Noor +2
Automated signature verification on bank checks is critical for fraud prevention and ensuring transaction authenticity. This task is challenging due to the coexistence of signature…
UnSupDLA: Towards Unsupervised Document Layout Analysis
Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi +2
Document layout analysis is a key area in document research, involving techniques like text mining and visual analysis. Despite various methods developed to tackle layout analysis,…
End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents
Iqraa Ehsan, Tahira Shehzadi, Didier Stricker +1
Table detection, a pivotal task in document analysis, aims to precisely recognize and locate tables within document images. Although deep learning has shown remarkable progress in…
Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer
Tahira Shehzadi, Shalini Sarode, Didier Stricker +1
Table detection within document images is a crucial task in document processing, involving the identification and localization of tables. Recent strides in deep learning have subst…