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DnA: Denoising Attention for Visual Tasks
Ron Campos, Subhajit Maity, Xin Li +2
The softmax activation in multihead attention (MHA) is the de facto standard for attention-based models in visual perception tasks. However, standard softmax can produce noisy atte…
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Subhajit Maity, Ayan Kumar Bhunia, Subhadeep Koley +3
Keypoint detection, integral to modern machine perception, faces challenges in few-shot learning, particularly when source data from the same distribution as the query is unavailab…
Sketch Down the FLOPs: Towards Efficient Networks for Human Sketch
Aneeshan Sain, Subhajit Maity, Pinaki Nath Chowdhury +3
As sketch research has collectively matured over time, its adaptation for at-mass commercialisation emerges on the immediate horizon. Despite an already mature research endeavour f…
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across Heads
Ali K. Rahimian, Manish K. Govind, Subhajit Maity +4
Vision Transformers and their variants have achieved remarkable success in diverse visual perception tasks. Despite their effectiveness, they suffer from two significant limitation…
DistilDoc: Knowledge Distillation for Visually-Rich Document Applications
Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee +4
This work explores knowledge distillation (KD) for visually-rich document (VRD) applications such as document layout analysis (DLA) and document image classification (DIC). While V…
Image Hash Minimization for Tamper Detection
Subhajit Maity, Ram Kumar Karsh
Tamper detection using image hash is a very common problem of modern days. Several research and advancements have already been done to address this problem. However, most of the ex…