Real-time Instance Segmentation

12 papers with code • 1 benchmarks • 1 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

Datasets


Greatest papers with code

YOLACT: Real-time Instance Segmentation

open-mmlab/mmdetection ICCV 2019

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

Ranked #7 on Real-time Instance Segmentation on MSCOCO (using extra training data)

Real-time Instance Segmentation Semantic Segmentation

YOLACT++: Better Real-time Instance Segmentation

dbolya/yolact 3 Dec 2019

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

Ranked #3 on Real-time Instance Segmentation on MSCOCO (using extra training data)

Real-time Instance Segmentation Semantic Segmentation

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

aim-uofa/adet CVPR 2020

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

zju3dv/snake CVPR 2020

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 +2

YolactEdge: Real-time Instance Segmentation on the Edge

haotian-liu/yolact_edge 22 Dec 2020

We propose YolactEdge, the first competitive instance segmentation approach that runs on small edge devices at real-time speeds.

Real-time Instance Segmentation Semantic Segmentation

CenterMask: Real-Time Anchor-Free Instance Segmentation

youngwanLEE/CenterMask CVPR 2020

We propose a simple yet efficient anchor-free instance segmentation, called CenterMask, that adds a novel spatial attention-guided mask (SAG-Mask) branch to anchor-free one stage object detector (FCOS) in the same vein with Mask R-CNN.

Real-time Instance Segmentation Semantic Segmentation

CenterMask : Real-Time Anchor-Free Instance Segmentation

youngwanLEE/CenterMask arXiv 2019

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.

Panoptic Segmentation Real-time Instance Segmentation +1

SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation

JialeCao001/SipMask ECCV 2020

In terms of real-time capabilities, SipMask outperforms YOLACT with an absolute gain of 3. 0% (mask AP) under similar settings, while operating at comparable speed on a Titan Xp.

Object Detection Real-time Instance Segmentation +2

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers

lkeab/BCNet CVPR 2021

Segmenting highly-overlapping objects is challenging, because typically no distinction is made between real object contours and occlusion boundaries.

Amodal Instance Segmentation Boundary Detection +4

Explicit Shape Encoding for Real-Time Instance Segmentation

WenqiangX/ese_seg ICCV 2019

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 +1