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Instance Segmentation

227 papers with code · Computer Vision

Instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.

( Image credit: Weakly Supervised Panoptic Segmentation )

Benchmarks

Greatest papers with code

Learning to Segment Every Thing

CVPR 2018 facebookresearch/detectron

Most methods for object instance segmentation require all training examples to be labeled with segmentation masks.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Non-local Neural Networks

CVPR 2018 facebookresearch/detectron

Both convolutional and recurrent operations are building blocks that process one local neighborhood at a time.

Ranked #7 on Keypoint Detection on COCO (Validation AP metric)

INSTANCE SEGMENTATION KEYPOINT DETECTION OBJECT DETECTION VIDEO CLASSIFICATION

PointRend: Image Segmentation as Rendering

CVPR 2020 facebookresearch/detectron2

We present a new method for efficient high-quality image segmentation of objects and scenes.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Panoptic Feature Pyramid Networks

CVPR 2019 facebookresearch/detectron2

In this work, we perform a detailed study of this minimally extended version of Mask R-CNN with FPN, which we refer to as Panoptic FPN, and show it is a robust and accurate baseline for both tasks.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION

TensorMask: A Foundation for Dense Object Segmentation

ICCV 2019 facebookresearch/detectron2

To formalize this, we treat dense instance segmentation as a prediction task over 4D tensors and present a general framework called TensorMask that explicitly captures this geometry and enables novel operators on 4D tensors.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

A novel Region of Interest Extraction Layer for Instance Segmentation

28 Apr 2020open-mmlab/mmdetection

Given the wide diffusion of deep neural network architectures for computer vision tasks, several new applications are nowadays more and more feasible.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

CVPR 2020 open-mmlab/mmdetection

CentripetalNet predicts the position and the centripetal shift of the corner points and matches corners whose shifted results are aligned.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

CBNet: A Novel Composite Backbone Network Architecture for Object Detection

9 Sep 2019open-mmlab/mmdetection

In existing CNN based detectors, the backbone network is a very important component for basic feature extraction, and the performance of the detectors highly depends on it.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION