Instance Segmentation

390 papers with code • 9 benchmarks • 32 datasets

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

Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21

Greatest papers with code

The surprising impact of mask-head architecture on novel class segmentation

tensorflow/models 1 Apr 2021

Within this family, we show that the architecture of the mask-head plays a surprisingly important role in generalization to classes for which we do not observe masks during training.

Instance Segmentation Semantic Segmentation

Mask R-CNN

tensorflow/models ICCV 2017

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

3D Instance Segmentation Human Part Segmentation +7

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

tensorflow/models CVPR 2020

We propose SpineNet, a backbone with scale-permuted intermediate features and cross-scale connections that is learned on an object detection task by Neural Architecture Search.

General Classification Image Classification +4

Learning to Segment Every Thing

facebookresearch/detectron CVPR 2018

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

Instance Segmentation Semantic Segmentation

Non-local Neural Networks

facebookresearch/detectron CVPR 2018

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

Ranked #7 on Action Classification on Toyota Smarthome dataset (using extra training data)

Action Classification Action Recognition +3

Pointly-Supervised Instance Segmentation

facebookresearch/detectron2 13 Apr 2021

Our experiments show that the new module is more suitable for the proposed point-based supervision.

Instance Segmentation Semantic Segmentation

TensorMask: A Foundation for Dense Object Segmentation

facebookresearch/detectron2 ICCV 2019

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 +1

Panoptic Feature Pyramid Networks

facebookresearch/detectron2 CVPR 2019

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

Panoptic-DeepLab

facebookresearch/detectron2 10 Oct 2019

The semantic segmentation branch is the same as the typical design of any semantic segmentation model (e. g., DeepLab), while the instance segmentation branch is class-agnostic, involving a simple instance center regression.

Instance Segmentation Panoptic Segmentation