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Abstract: Object detection, as of one the most fundamental and challenging problems in computer vision, has received great attention in recent years. Over the past two decades, we have seen a rapid ...
Abstract: Recent research on remote sensing object detection has largely focused on improving the representation of oriented bounding boxes but has overlooked the unique prior knowledge presented in ...
c++11 or above x86 platform with AVX2 instruction GCC or LLVM compiler (not support MSVC compiler now) Linux OS using SIMD to accelerate skipping white space. using SIMD to find escaped chars when ...
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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