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: We study the visual semantic embedding problem for image-text matching. Most existing work utilizes a tailored cross-attention mechanism to perform local alignment across the two image and ...
Abstract: Frequency domain-based methods have demonstrated promising performance in Camouflaged Object Detection (COD) tasks because of their enhanced power for distinguishing between objects and the ...
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