In image object detection, the training and inference of detectors based on random proposals are challenging due to their diverse, random and flexible nature. Existing work employs the use of ...
Abstract: Random testing (RT) is considered important owing to the popularity of fuzzing techniques. Yet, its effectiveness has been questioned because it disregards the property that failures are ...
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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