Therefore, the network is named DHANet. The proposed decoder takes advantage of the multi-scale features from the encoder to predict OD regions. By comparing it with existing classic models such as ...

Our approach relies on an encoder-decoder architecture, which facilitates cross-view and cross-scale feature interactions. The network is trained with a composite loss function that includes both ...

You’re searching through the classified ads, and you come across a car you like. But in the listing, it states the car is ‘Cat S’ or ‘Cat N’. What does that mean exactly, and why is it important? In ...

The "Ultra-Scale Playbook", spanning nearly 100 pages and 30,000 words, draws from over 4,000 scaling experiments using up to 512 GPUs. The comprehensive guide breaks down complex topics like 5D ...

Welcome to our latest product review video. The Broadway Limited HO scale EMD GP30 is back in a colorful assortment of new ...

The researchers first trained the brain decoder on a few reference participants the long way — by collecting functional MRI data while the participants listened to 10 hours of radio stories.

Recently, vision language model (VLM)-based methods introduced the language prior by pre-training on large-scale pathological image-text pairs ... we propose a prototype-guided patch decoder to ...

Among other scales, Steve builds in N scale, his layouts were 3 x 5 feet in size or smaller, and were in my opinion quite well done. I found a track plan for a layout that was only 2 x 3 feet. This ...