Papers Real-time Instance Segmentation
“Real-time Instance Segmentation” 태그가 달린 논문 33편 · 필터 해제
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 SegmentationReal-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. However, the current diagnosis cannot build an automatic scheme, as there are three fundamental obstructs…
Instance SegmentationMedical Image Segmentationobject-detectionObject Detection+3Real-time instance segmentation with polygons using an Intersection-over-Union loss
Predicting a binary mask for an object is more accurate but also more computationally expensive than a bounding box. Polygonal masks as developed in CenterPoly can be a good compromise. In this paper, we improve over Cen…
GPUInstance SegmentationReal-time Instance Segmentationregression+1FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
Recent attention in instance segmentation has focused on query-based models. Despite being non-maximum suppression (NMS)-free and end-to-end, the superiority of these models on high-accuracy real-time benchmarks has not …
DecoderInstance SegmentationReal-time Instance SegmentationSegmentation+1PMODE: Prototypical Mask based Object Dimension Estimation
Can a neural network estimate an object's dimension in the wild? In this paper, we propose a method and deep learning architecture to estimate the dimensions of a quadrilateral object of interest in videos using a monocu…
Camera CalibrationInstance SegmentationObjectReal-time Instance Segmentation+2RTMDet: 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. T…
GPUInstance SegmentationObjectobject-detection+8D-InLoc++: Indoor Localization in Dynamic Environments
Most state-of-the-art localization algorithms rely on robust relative pose estimation and geometry verification to obtain moving object agnostic camera poses in complex indoor environments. However, this approach is pron…
Indoor LocalizationInstance SegmentationPose EstimationReal-time Instance Segmentation+1Sparse Instance Activation for Real-Time Instance Segmentation
In this paper, we propose a conceptually novel, efficient, and fully convolutional framework for real-time instance segmentation. Previously, most instance segmentation methods heavily rely on object detection and perfor…
Instance SegmentationObjectobject-detectionObject Detection+3Automotive 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. The domain has several application areas ranging from car assessment companies such as car rent…
Instance Segmentationobject-detectionObject DetectionReal-time Instance Segmentation+2Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Precise instrument segmentation aid surgeons to navigate the body more easily and increase patient safety. While accurate tracking of surgical instruments in real-time plays a crucial role in minimally invasive computer-…
Data AugmentationInstance SegmentationNavigateReal-time Instance Segmentation+2Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
This paper presents Mask-aware Intersection-over-Union (maIoU) for assigning anchor boxes as positives and negatives during training of instance segmentation methods. Unlike conventional IoU or its variants, which only c…
Instance SegmentationReal-time Instance SegmentationSegmentationSemantic SegmentationCenterPoly: real-time instance segmentation using bounding polygons
We present a novel method, called CenterPoly, for real-time instance segmentation using bounding polygons. We apply it to detect road users in dense urban environments, making it suitable for applications in intelligent …
Instance SegmentationReal-time Instance SegmentationSemantic SegmentationReal-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. In this paper, we propose a real-time instance seg…
Foreground SegmentationInstance SegmentationReal-time Instance SegmentationSegmentation+1Assessing 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. Computer vision contests, such as the Robust Medical …
Instance SegmentationReal-time Instance SegmentationSegmentationSemantic SegmentationDeep Occlusion-Aware Instance Segmentation with Overlapping BiLayers
Segmenting highly-overlapping objects is challenging, because typically no distinction is made between real object contours and occlusion boundaries. Unlike previous two-stage instance segmentation methods, we model imag…
Amodal Instance SegmentationBoundary DetectionInstance SegmentationObject Detection+3