We propose MaskCut approach to generate pseudo-masks for multiple objects in an image. CutLER can learn unsupervised object detectors and instance segmentors solely on ImageNet-1K. CutLER exhibits ...
Abstract: Deep-learning object detection methods that are designed for computer vision applications tend to underperform when applied to remote sensing data. This is because contrary to computer ...
The PEAK trial e-learning program involved self-directed learning modules, a mock video consultation with a researcher (simulated patient), and 4 audited practice video consultations with pilot ...
Abstract: Although it is well believed for years that modeling relations between objects would help object recognition, there has not been evidence that the idea is working in the deep learning era.
In accordance with Harvard University policy, Professional Education at the Harvard Graduate School of Education affirms the right of all individuals to equal treatment in education without regard to ...