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Real-time Instance Segmentation

7 papers with code · Computer Vision

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YOLACT++: Better Real-time Instance Segmentation

3 Dec 2019dbolya/yolact

Then we produce instance masks by linearly combining the prototypes with the mask coefficients.

REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

YOLACT: Real-time Instance Segmentation

ICCV 2019 dbolya/yolact

Then we produce instance masks by linearly combining the prototypes with the mask coefficients.

REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

2 Jan 2020aim-uofa/AdelaiDet

The proposed BlendMask can effectively predict dense per-pixel position-sensitive instance features with very few channels, and learn attention maps for each instance with merely one convolution layer, thus being fast in inference.

REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Deep Snake for Real-Time Instance Segmentation

6 Jan 2020zju3dv/snake

Based on deep snake, we develop a two-stage pipeline for instance segmentation: initial contour proposal and contour deformation, which can handle errors in object localization.

OBJECT LOCALIZATION REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

CenterMask : Real-Time Anchor-Free Instance Segmentation

arXiv 2019 youngwanLEE/CenterMask

Plugged into the FCOS object detector, the SAG-Mask branch predicts a segmentation mask on each box with the spatial attention map that helps to focus on informative pixels and suppress noise.

REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

CenterMask : Real-Time Anchor-Free Instance Segmentation

arXiv 2019 youngwanLEE/CenterMask

We hope that CenterMask and VoVNetV2 can serve as a solid baseline of real-time instance segmentation and backbone network for various vision tasks, respectively.

#3 best model for Instance Segmentation on COCO test-dev (AP50 metric)

PANOPTIC SEGMENTATION REAL-TIME INSTANCE SEGMENTATION REAL-TIME OBJECT DETECTION

Explicit Shape Encoding for Real-Time Instance Segmentation

ICCV 2019 WenqiangX/ese_seg

In this paper, we propose a novel top-down instance segmentation framework based on explicit shape encoding, named \textbf{ESE-Seg}.

OBJECT DETECTION REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION