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Instance Segmentation

59 papers with code · Computer Vision

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

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Greatest papers with code

Mask R-CNN

ICCV 2017 tensorflow/models

Our approach efficiently detects objects in an image while simultaneously generating a high-quality segmentation mask for each instance.

HUMAN PART SEGMENTATION INSTANCE SEGMENTATION KEYPOINT DETECTION MULTI-HUMAN PARSING OBJECT DETECTION SEMANTIC SEGMENTATION

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.

INSTANCE SEGMENTATION KEYPOINT DETECTION OBJECT DETECTION VIDEO CLASSIFICATION

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

CVPR 2018 NVIDIA/pix2pixHD

We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).

CONDITIONAL IMAGE GENERATION IMAGE-TO-IMAGE TRANSLATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Deformable ConvNets v2: More Deformable, Better Results

27 Nov 2018msracver/Deformable-ConvNets

The superior performance of Deformable Convolutional Networks arises from its ability to adapt to the geometric variations of objects.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

A MultiPath Network for Object Detection

7 Apr 2016facebookresearch/multipathnet

To address these challenges, we test three modifications to the standard Fast R-CNN object detector: (1) skip connections that give the detector access to features at multiple network layers, (2) a foveal structure to exploit object context at multiple object resolutions, and (3) an integral loss function and corresponding network adjustment that improve localization.

INSTANCE SEGMENTATION OBJECT DETECTION

Mask Scoring R-CNN

1 Mar 2019zjhuang22/maskscoring_rcnn

In this paper, we study this problem and propose Mask Scoring R-CNN which contains a network block to learn the quality of the predicted instance masks.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding

6 Dec 2018yangyanli/PointCNN

We present PartNet: a consistent, large-scale dataset of 3D objects annotated with fine-grained, instance-level, and hierarchical 3D part information.

3D OBJECT UNDERSTANDING INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Towards End-to-End Lane Detection: an Instance Segmentation Approach

15 Feb 2018MaybeShewill-CV/lanenet-lane-detection

By doing so, we ensure a lane fitting which is robust against road plane changes, unlike existing approaches that rely on a fixed, pre-defined transformation.

INSTANCE SEGMENTATION LANE DETECTION SEMANTIC SEGMENTATION