Semantic Segmentation News Today

Infrared cameras, which detect and measure heat emitted by objects, have evolved from military use to widespread applications in medical diagnostics, industrial inspections, and consumer electronics. Advancements in technology and AI integration promise further improvements in sensitivity, resolution, and versatility.

In the past decade, deep learning (DL) has taken the world by storm. It has produced significant results in a wide variety of applications ranging from self driving cars to natural language processing (NLP). Modern deep learning is built from a number of different algorithms including artificial neural networks (ANN), optimisation algorithms, back-propagation (BP), and varying levels of supervision. Recent advances in GPU hardware, improved availability of large, high quality datasets, and the d...

We tested Intels new AI-friendly chips on real-world inference workloads such as music and image generation. The results may surprise you.

The difference should come from the new chipset. OnePlus 12 will have a 50 MP main camera with a Sony LYT-808 sensor, revealed Louis Jie, the chief of the...

The combined efforts of Oxford researchers and their partners herald a new era in environmental monitoring and climate change mitigation, showcasing the power of AI and space technology in tackling global challenges.

Qualcomm has announced its latest flagship-tier mobile platform, the Snapdragon 8 Gen 3. Here's how it compares to the Snapdragon 8 Gen 2

The Snapdragon 8 Gen 3 has been unveiled and sports incredible performance gains over the Snapdragon 8 Gen 2 and a host of other features

Accurate detection of pedestrian lanes is a crucial criterion for vision-impaired people to navigate freely and safely. The current deep learning methods have achieved reasonable accuracy at this task. However, they lack practicality for real-time pedestrian lane detection due to non-optimal accuracy, speed, and model size trade-off. Hence, an optimized deep neural network (DNN) for pedestrian lane detection is required. Designing a DNN from scratch is a laborious task that requires significant ...

Hyperspectral image segmentation is an emerging area with numerous applications, including agriculture, forestry, environment monitoring, and remote sensing. This paper proposes a new neural architecture search algorithm, named AdaptorNAS, for hyperspectral image segmentation. AdaptorNAS aims to design the optimum decoder for any given encoder. In our approach, the search space of AdaptorNAS is a large deep neural network (DNN), and the optimal decoder is derived by pruning the large DNN via a p...

Chip maker Qualcomm announced that its flagship Snapdragon 8 Gen 2 Mobile Platform for Galaxy is powering...