1 citations · 1 across the 5 of their papers we have counts for
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TinySSL: Distilled Self-Supervised Pretraining for Sub-Megabyte MCU Models
Bibin Wilson
Self-supervised learning (SSL) has transformed representation learning for large models, yet remains unexplored for microcontroller (MCU)-class models with fewer than 500K paramete…
Latent Replay Detection: Memory-Efficient Continual Object Detection on Microcontrollers via Task-Adaptive Compression
Bibin Wilson
Deploying object detection on microcontrollers (MCUs) enables intelligent edge devices but current models cannot learn new object categories after deployment. Existing continual le…
TinyVLM: Zero-Shot Object Detection on Microcontrollers via Vision-Language Distillation with Matryoshka Embeddings
Bibin Wilson
Zero-shot object detection enables recognising novel objects without task-specific training, but current approaches rely on large vision language models (VLMs) like CLIP that requi…
Generating Synthetic Invoices via Layout-Preserving Content Replacement
Bevin V, Ananthakrishnan P, Ragesh KR +3
The performance of machine learning models for automated invoice processing is critically dependent on large-scale, diverse datasets. However, the acquisition of such datasets is o…