publié le: 2023
We propose a novel end-to-end curriculum learning approach for sparsely labelled animal datasets leveraging large volumes of unlabelled data to improv...
Spatial downsampling layers are favored in convolutional neural networks (CNNs) to downscale feature maps for larger receptive fields and less memory...
Real-world video deblurring in real time still remains a challenging task due to the complexity of spatially and temporally varying blur itself and th...
Many problems in imaging and low-level vision can be formulated as nonconvex variational problems. A promising class of approaches to tackle such prob...
Temporal action proposal generation (TAPG) is a challenging task, which requires localizing action intervals in an untrimmed video. Intuitively, we as...
