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: Three-dimensional objects are commonly represented as 3D boxes in a point-cloud. This representation mimics the well-studied image-based 2D bounding-box detection but comes with additional ...
Compared with System.Text.Json, protobuf-net, MessagePack for C#, Orleans.Serialization. Measured by .NET 7 / Ryzen 9 5950X machine. These serializers have IBufferWriter<byte> method, serialized using ...
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 ...