De Segmentation
Found 5 free book(s)![Abstract arXiv:1411.4038v2 [cs.CV] 8 Mar 2015](/cache/preview/e/8/a/1/0/5/9/a/thumb-e8a1059a2748cde7ba3d756f44e4ca34.jpg)
Abstract arXiv:1411.4038v2 [cs.CV] 8 Mar 2015
arxiv.orgby fine-tuning [4] to the segmentation task. We then de-fine a novel architecture that combines semantic informa-tion from a deep, coarse layer with appearance information from a shallow, fine layer to produce accurate and detailed segmentations. Our fully convolutional network achieves state-of-the-art segmentation of PASCAL VOC (20% rela-
YOLACT: Real-Time Instance Segmentation
openaccess.thecvf.comsegmentation methods on COCO. To our knowledge, ours is the first real-time (above 30 FPS) approach with around 30 mask mAP on COCO test-dev. However, instance segmentation is hard—much harder than object detection. One-stage object detectors like SSD and YOLO are able to speed up existing two-stage de-
![arXiv:1606.06650v1 [cs.CV] 21 Jun 2016](/cache/preview/9/9/5/1/0/0/c/5/thumb-995100c57fe8174f42671da99a165261.jpg)
arXiv:1606.06650v1 [cs.CV] 21 Jun 2016
arxiv.orgric Image Segmentation, Xenopus Kidney, Semi-automated, Fully-automated, Sparse Annotation 1 Introduction Volumetric data is abundant in biomedical data analysis. Annotation of such data with segmentation labels causes di culties, since only 2D slices can be shown on a computer screen. Thus, annotation of large volumes in a slice-by-slice
End-to-End Video Instance Segmentation With Transformers
openaccess.thecvf.comthe VIS task as a direct end-to-end parallel sequence de-coding/prediction problem. Given a video clip consisting of multiple image frames as input, VisTR outputs the sequence of masks for each instance in the video in order directly. At the core is a new, effective instance sequence matching and segmentation strategy, which supervises and segments
Tech report (v5) - arXiv
arxiv.orgsemantic segmentation [5]. At test time, our method gener-ates around 2000 category-independent region proposals for the input image, extracts a fixed-length feature vector from each proposal using a CNN, and then classifies each region with category-specific linear SVMs. We use a simple tech-nique (affine image warping) to compute a fixed ...