Optimize code using binary notation Code optimization can be more creative than compilers and instruction-level parallelism. Here are specific ways to optimize code using hardware resources with ...

Class-agnostic binary segmentation identifies objects that are similar or very different from the complex background, including salient object detection (SOD) and camouflage object detection (COD).

Binary code summarization, while invaluable for understanding code semantics, is challenging due to its labor-intensive nature. This study delves into the potential of large language models (LLMs) for ...

This study’s research area is artificial intelligence (AI) and machine learning, specifically focusing on neural networks that can understand binary code. The aim is to automate reverse engineering ...

There are various binary semantic segmentation tasks in remote sensing (RS) that aim to extract the foreground areas of interest, such as buildings and roads, from the background in satellite images.

SAM gives Segmentation masks in binary format , when I plotted the masks the results very pretty impressive . Now I want to built an instance segmentation model on the above dataset using YOLOV8 or ...