1 citations · 2 across the 3 of their papers we have counts for
3 papers
Crop Pest Classification Using Deep Learning Techniques: A Review
Muhammad Hassam Ejaz, Muhammad Bilal, Usman Habib +2
Insect pests continue to bring a serious threat to crop yields around the world, and traditional methods for monitoring them are often slow, manual, and difficult to scale. In rece…
SCHNet: SAM Marries CLIP for Human Parsing
Kunliang Liu, Jianming Wang, Rize Jin +2
Vision Foundation Model (VFM) such as the Segment Anything Model (SAM) and Contrastive Language-Image Pre-training Model (CLIP) has shown promising performance for segmentation and…
UnifiedCrawl: Aggregated Common Crawl for Affordable Adaptation of LLMs on Low-Resource Languages
Bethel Melesse Tessema, Akhil Kedia, Tae-Sun Chung
Large language models (LLMs) under-perform on low-resource languages due to limited training data. We present a method to efficiently collect text data for low-resource languages f…