2 citations · 3 across the 4 of their papers we have counts for
4 papers
A Comprehensive Survey on Knowledge Distillation
Amir M. Mansourian, Rozhan Ahmadi, Masoud Ghafouri +8
Deep Neural Networks (DNNs) have achieved notable performance in the fields of computer vision and natural language processing with various applications in both academia and indust…
Attention-guided Feature Distillation for Semantic Segmentation
Amir M. Mansourian, Arya Jalali, Rozhan Ahmadi +1
Deep learning models have achieved significant results across various computer vision tasks. However, due to the large number of parameters in these models, deploying them in real-…
Leveraging Swin Transformer for Local-to-Global Weakly Supervised Semantic Segmentation
Rozhan Ahmadi, Shohreh Kasaei
In recent years, weakly supervised semantic segmentation using image-level labels as supervision has received significant attention in the field of computer vision. Most existing m…
AICSD: Adaptive Inter-Class Similarity Distillation for Semantic Segmentation
Amir M. Mansourian, Rozhan Ahmadi, Shohreh Kasaei
In recent years, deep neural networks have achieved remarkable accuracy in computer vision tasks. With inference time being a crucial factor, particularly in dense prediction tasks…