Fully Convolutional Instance-aware Semantic Segmentation

2016-11-23 · CVPR 2017 7 · Yi Li, Haozhi Qi, Jifeng Dai, Xiangyang Ji, Yichen Wei

We present the first fully convolutional end-to-end solution for instance-aware semantic segmentation task. It inherits all the merits of FCNs for semantic segmentation and instance mask proposal. It performs instance mask prediction and classification jointly. The underlying convolutional representation is fully shared between the two sub-tasks, as well as between all regions of interest. The proposed network is highly integrated and achieves state-of-the-art performance in both accuracy and efficiency. It wins the COCO 2016 segmentation competition by a large margin. Code would be released at \url{https://github.com/daijifeng001/TA-FCN}.

📄 PDF Abstract BibTeX arXiv:1611.07709

Code (3)

daijifeng001/TA-FCN 공식 구현 mxnet

divamgupta/image-segmentation-keras tf

msracver/FCIS mxnet

Tasks

General Classification Instance Segmentation Segmentation Semantic Segmentation

BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks

2017-06-07 · Viet-Quoc Pham, Satoshi Ito, Tatsuo Kozakaya

We present a simple and effective framework for simultaneous semantic segmentation and instance segmentation with Fully Convolutional Networks (FCNs). The method, called BiSeg, predicts instance segmentation as a posteri…

Bayesian Inference Instance Segmentation Position Segmentation+1

Pixel-level Encoding and Depth Layering for Instance-level Semantic Labeling

2016-04-18 · Jonas Uhrig, Marius Cordts, Uwe Franke, Thomas Brox

Recent approaches for instance-aware semantic labeling have augmented convolutional neural networks (CNNs) with complex multi-task architectures or computationally expensive graphical models. We present a method that lev…

Instance Segmentation Semantic Segmentation

Vehicle Instance Segmentation from Aerial Image and Video Using a Multi-Task Learning Residual Fully Convolutional Network

2018-05-26 · Lichao Mou, Xiao Xiang Zhu

Object detection and semantic segmentation are two main themes in object retrieval from high-resolution remote sensing images, which have recently achieved remarkable performance by surfing the wave of deep learning and,…

Instance Segmentation Multi-Task Learning object-detection Object Detection+5

Semantic Instance Segmentation via Deep Metric Learning

2017-03-30 · Alireza Fathi, Zbigniew Wojna, Vivek Rathod, Peng Wang 외

We propose a new method for semantic instance segmentation, by first computing how likely two pixels are to belong to the same object, and then by grouping similar pixels together. Our similarity metric is based on a dee…

Instance Segmentation Metric Learning Object Proposal Generation Segmentation+1

Fully Convolutional Multi-Class Multiple Instance Learning

2014-12-22 · Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell

Multiple instance learning (MIL) can reduce the need for costly annotation in tasks such as semantic segmentation by weakening the required degree of supervision. We propose a novel MIL formulation of multi-class semanti…

Multiple Instance Learning Segmentation Semantic Segmentation Weakly-Supervised Semantic Segmentation