Abstract: Skin cancer poses a significant global health challenge due to its increasing incidence rates. Accurate segmentation of skin lesions is essential for early detection and successful treatment ...
We present Representation Autoencoders (RAE), a class of autoencoders that utilize pretrained, frozen representation encoders such as DINOv2 and SigLIP2 as encoders with trained ViT decoders. RAE can ...
Abstract: Remote sensing change detection (CD) identifies land-use/land-cover changes by analyzing multi-temporal imagery. Mainstream methods employ siamese multi-level encoders and a single ...
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, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback