Abstract: Object removal has so far been dominated by the "mask-and-inpaint" paradigm, where the masked region is excluded from the input, leaving models relying on unmasked areas to inpaint the ...
Abstract: We present Sparse R-CNN, a purely sparse method for object detection in images. Existing works on object detection heavily rely on dense object candidates, such as k anchor boxes pre-defined ...
Firms often restrict workers’ mobility with Noncompete Agreements (NCAs). Using state-level law changes, we find that making NCAs easier to enforce (“stricter” enforceability) leads to fewer patents, ...
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