Real-time Instance Segmentation
22 papers with code • 6 benchmarks • 5 datasets
Similar to its parent task, instance segmentation, but with the goal of achieving real-time capabilities under a defined setting.
Image Credit: SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Benchmarks
These leaderboards are used to track progress in Real-time Instance Segmentation
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Libraries
Use these libraries to find Real-time Instance Segmentation models and implementations
MS COCO
Cityscapes
KITTI
MSCOCO
MEIS
Latest papers
CenterDisks: Real-time instance segmentation with disk covering
In the learning phase, we consider the radius as proportional to a standard deviation in order to compute the error to propagate on a set of two-dimensional Gaussian functions rather than disks.
Real-time Automatic M-mode Echocardiography Measurement with Panel Attention from Local-to-Global Pixels
Motion mode (M-mode) recording is an essential part of echocardiography to measure cardiac dimension and function.
Real-time instance segmentation with polygons using an Intersection-over-Union loss
In this paper, we improve over CenterPoly by enhancing the classical regression L1 loss with a novel region-based loss and a novel order loss, as well as with a new training process for the vertices prediction head.
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
junjiehe96/fastinst
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CVPR 2023
In this paper, we show the strong potential of query-based models on efficient instance segmentation algorithm designs.
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
In this paper, we aim to design an efficient real-time object detector that exceeds the YOLO series and is easily extensible for many object recognition tasks such as instance segmentation and rotated object detection.
D-InLoc++: Indoor Localization in Dynamic Environments
Lastly, we describe and improve the mistakes caused by gradient-based comparison between synthetic and query images and publish a new pipeline for simulation of environments with movable objects from the Matterport scans.
Sparse Instance Activation for Real-Time Instance Segmentation
hustvl/sparseinst
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CVPR 2022
In this paper, we propose a conceptually novel, efficient, and fully convolutional framework for real-time instance segmentation.
Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
We present the effectiveness of maIoU on a state-of-the-art (SOTA) assigner, ATSS, by replacing IoU operation by our maIoU and training YOLACT, a SOTA real-time instance segmentation method.
CenterPoly: real-time instance segmentation using bounding polygons
hu64/centerpoly
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The models were trained and evaluated on Cityscapes, KITTI and IDD and the results are reported on their public benchmark, which are state-of-the-art at real-time speeds.
Real-time Instance Segmentation with Discriminative Orientation Maps
Although instance segmentation has made considerable advancement over recent years, it's still a challenge to design high accuracy algorithms with real-time performance.
