3 papers
cs.CV2025
Lightweight Transformer Framework for Weakly Supervised Semantic Segmentation
Ali Torabi, Sanjog Gaihre, Yaqoob Majeed
Weakly supervised semantic segmentation (WSSS) must learn dense masks from noisy, under-specified cues. We revisit the SegFormer decoder and show that three small, synergistic chan…
cs.CV2025
Localized Region Guidance for Class Activation Mapping in WSSS
Ali Torabi, Sanjog Gaihre, MD Mahbubur Rahman +1
Weakly Supervised Semantic Segmentation (WSSS) addresses the challenge of training segmentation models using only image-level annotations. Existing WSSS methods struggle with preci…
cs.CV2025
Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques
Muhammad Waseem, Chung-Hsuan Huang, Muhammad Muzzammil Sajjad +4
Tomato maturity plays a pivotal role in optimizing harvest timing and ensuring product quality, but current methods struggle to achieve high accuracy along computational efficiency…