Abstract: To carry out cell counting, it is common to use neural network models with an encoder-decoder structure to generate regression density maps. In the encoder-decoder structure, skip ...
Abstract: Convolutional neural networks (CNNs) have attracted much attention in change detection (CD) for their superior feature learning ability. However, most of the existing CNN-based CD methods ...
We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...
T5Gemma 2 follows the same adaptation idea introduced in T5Gemma, initialize an encoder-decoder model from a decoder-only checkpoint, then adapt with UL2. In the above figure the research team show ...
Posts from this topic will be added to your daily email digest and your homepage feed. Welcome to our end-of-year Decoder special! Senior producers Kate Cox and Nick Statt here. We’ve had a big year, ...
is editor-in-chief of The Verge, host of the Decoder podcast, and co-host of The Vergecast. Today, I’m talking with Prashanth Chandrasekar, who is the CEO of Stack Overflow. I last had Prashanth on ...