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 with no code
Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation
This paper introduces Generalized Mask-aware Intersection-over-Union (GmaIoU) as a new measure for positive-negative assignment of anchor boxes during training of instance segmentation methods.
PMODE: Prototypical Mask based Object Dimension Estimation
A real-time instance segmentation-based Deep Neural Network with a ResNet50 backbone is employed, giving the object's prototype mask and thus provides a region of interest to regress its dimensions.
Automotive Parts Assessment: Applying Real-time Instance-Segmentation Models to Identify Vehicle Parts
The problem of automated car damage assessment presents a major challenge in the auto repair and damage assessment industry.
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
While accurate tracking of surgical instruments in real-time plays a crucial role in minimally invasive computer-assisted surgeries, it is a challenging task to achieve, mainly due to 1) complex surgical environment, and 2) model design with both optimal accuracy and speed.
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
Image-based tracking of laparoscopic instruments plays a fundamental role in computer and robotic-assisted surgeries by aiding surgeons and increasing patient safety.
INSTA-YOLO: Real-Time Instance Segmentation
We compare our results to the state-of-the-art models for instance segmentation.
FLIC: Fast Lidar Image Clustering
Lidar sensors are widely used in various applications, ranging from scientific fields over industrial use to integration in consumer products.
