The video/image synthesis research sector regularly outputs video-editing* architectures, and over the last nine months, ...

In Vision Transformer Branch, we remove the multi-scale convolutional structure and keep the same-scale feature maps extracted by Vision Transformer for reducing the consumption of memory and ...

Following this, self-attention mechanisms and convolutional networks are naturally applied in parallel to process low-frequency and high-frequency components, resulting in the development of a wavelet ...

Command A from Cohere offers faster speeds, a larger context window, improved multilingual handling, and lower deployment costs.

This is the reference implementation of the models and code for the fully convolutional networks (FCNs) in the PAMI FCN and CVPR FCN papers: Fully Convolutional Models for Semantic Segmentation Evan ...

After hours: March 10 at 4:20:00 PM EDT Loading Chart for EYE ...

To keep on track of state-of-the-art (SoTA) on each vision task and new CNN architectures To see the comparison of famous CNN models at a glance (performance, speed, size, etc.) To access their ...