Real-time Instance Segmentation
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Benchmarks
MSCOCO
PASCAL VOC 2012
MEIS
Cityscapes test
India Driving Dataset
KITTI
MSCOCO-1k
Most implemented
YOLACT: Real-time Instance Segmentation
YOLACT++: Better Real-time Instance Segmentation
SOLOv2: Dynamic and Fast Instance Segmentation
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
CenterMask : Real-Time Anchor-Free Instance Segmentation
Papers
Fringe Projection Based Vision Pipeline for Autonomous Hard Drive Disassembly
Unrecovered e-waste represents a significant economic loss. Hard disk drives (HDDs) comprise a valuable e-waste stream necessitating robotic disassembly. Automating the disassembly of HDDs requires holistic 3D sensing, s…
Real-time Instance SegmentationScene UnderstandingTransfer LearningDepth CompletionD-FINE-seg: Object Detection and Instance Segmentation Framework with multi-backend deployment
Transformer-based real-time object detectors achieve strong accuracy-latency trade-offs, and D-FINE is among the top-performing recent architectures. However, real-time instance segmentation with transformers is still le…
Real-time Instance SegmentationObject DetectionA Lightweight Multi-Scale Attention Framework for Real-Time Spinal Endoscopic Instance Segmentation
Real-time instance segmentation for spinal endoscopy is important for identifying and protecting critical anatomy during surgery, but it is difficult because of the narrow field of view, specular highlights, smoke/bleedi…
Real-time Instance SegmentationAn Automated Deep Segmentation and Spatial-Statistics Approach for Post-Blast Rock Fragmentation Assessment
We introduce an end-to-end pipeline that leverages a fine-tuned YOLO12l-seg model -- trained on over 500 annotated post-blast images -- to deliver real-time instance segmentation (Box mAP@0.5 ~ 0.769, Mask mAP@0.5 ~ 0.80…
Real-time Instance SegmentationCenterDisks: Real-time instance segmentation with disk covering
Increasing the accuracy of instance segmentation methods is often done at the expense of speed. Using coarser representations, we can reduce the number of parameters and thus obtain real-time masks. In this paper, we tak…
GPUInstance SegmentationReal-time Instance SegmentationSemantic SegmentationGeneralized 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. Unlike conventional IoU me…
Instance SegmentationReal-time Instance SegmentationSegmentationSemantic Segmentation