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cs.CV2026
Segmenting Visuals With Querying Words: Language Anchors For Semi-Supervised Image Segmentation
Numair Nadeem, Saeed Anwar, Muhammad Hamza Asad +1
Vision Language Models (VLMs) provide rich semantic priors but are underexplored in Semi supervised Semantic Segmentation. Recent attempts to integrate VLMs to inject high level se…
cs.CV2025
MaskAdapt: Unsupervised Geometry-Aware Domain Adaptation Using Multimodal Contextual Learning and RGB-Depth Masking
Numair Nadeem, Muhammad Hamza Asad, Saeed Anwar +1
Semantic segmentation of crops and weeds is crucial for site-specific farm management; however, most existing methods depend on labor intensive pixel-level annotations. A further c…
cs.CV2024
Improved Crop and Weed Detection with Diverse Data Ensemble Learning
Muhammad Hamza Asad, Saeed Anwar, Abdul Bais
Modern agriculture heavily relies on Site-Specific Farm Management practices, necessitating accurate detection, localization, and quantification of crops and weeds in the field, wh…