首先来回顾一下 instance level segmentation 都有哪些方法: 1)Proposal based: 基于候选区域提取的方法,首先提取物体的候选区域,然后再对候选区域进行细化分割 refinement 2)Deep structured models: CNN+ conditional random field (CRF) 3)Template matching: CNN+
Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity Weiyao Wang†, Matt Feiszli†, Heng Wang†, Jitendra Malik†§, Du Tran† † Meta AI Research § UC Berkeley {weiyaowang,mdf,hengwang,trandu}@fb.c...
refinement module, which sharpens the model’s localization accuracy by focusing on critical boundary details. Addressing the scarcity of datasets tailored, for instance, segmentation in real-world foggy scenes, we have enriched the Foggy Driving dataset with meticulously crafted instance mask annotations ...
了解决这些问题,我们提出了一个概念上简单但有效的后处理细化框架,该方法能基于任何实例分割模型的结果来提高边界质量,称为BPR。根据看的近边缘分割效果好的想法,我们沿着预测实例的边界提取和细化一系列小的边界块(patch)。我们通过一个更高分辨率的边界补丁细化网络来完成边缘的重新细化。在Cityscapes 数据集上,所提出...
Weakly supervised learning of instance segmentation with inter-pixel relations. In:... Ahn, J., Kwak, S., 2018. Learning pixel-level semantic affinity with image-level supervision for weakly supervised... ChenL. et al. Weakly supervised semantic segmentation with boundary exploration ChoeJ. et ...
This paper introduces You Only Look Once v8 for Topology Optimization (YOLOv8-TO), a novel approach for reverse engineering topology-optimized structures into interpretable geometric parameters using the YOLOv8 instance segmentation model. Density-based topology optimization methods require post-processing ...
We apply four different methods to the predictions of the same model: the tradi- tional watershed method [1], boundary partition method, HVmap segmentation method from Hover-Net [6], and our proposed method. Specifically, the watershed method involves segmenting instances using ...
Paper tables with annotated results for Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation
Deep watershed transform for instance segmentation BertasiusG. et al. Deepedge: A multi-scale bifurcated deep network for top-down contour detection BoykovY.Y. et al. Interactive graph cuts for optimal boundary & region segmentation of objects in ND images CaruanaR. Multitask learning Mach....
Most of these techniques focus on improving the deep-learning modeling pipeline either by diversifying the data extraction process, tuning the pipeline parameters, enhancing the training mechanism, or evolving the existing architecture, to gain on the underlying segmentation or detection techniques. Table...