4 papers
Self-supervised Deep Hyperspectral Inpainting with the Plug and Play and Deep Image Prior Models
Shuo Li, Mehrdad Yaghoobi
Hyperspectral images are typically composed of hundreds of narrow and contiguous spectral bands, each containing information regarding the material composition of the imaged scene.…
Equivariant Imaging for Self-supervised Hyperspectral Image Inpainting
Shuo Li, Mike Davies, Mehrdad Yaghoobi
Hyperspectral imaging (HSI) is a key technology for earth observation, surveillance, medical imaging and diagnostics, astronomy and space exploration. The conventional technology f…
On the Transferability of Large-Scale Self-Supervision to Few-Shot Audio Classification
Calum Heggan, Sam Budgett, Timothy Hospedales +1
In recent years, self-supervised learning has excelled for its capacity to learn robust feature representations from unlabelled data. Networks pretrained through self-supervision s…
MT-SLVR: Multi-Task Self-Supervised Learning for Transformation In(Variant) Representations
Calum Heggan, Tim Hospedales, Sam Budgett +1
Contrastive self-supervised learning has gained attention for its ability to create high-quality representations from large unlabelled data sets. A key reason that these powerful f…