Stack is a large-scale encoder-decoder foundation model trained on 150 million uniformly-preprocessed single cells. It introduces a novel tabular attention architecture that enables both intra- and ...
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 ...
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