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
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
|||||
|
|||||
|
|||||
|
|||||
|
|||||
|
Libraries
Use these libraries to find Real-time Instance Segmentation models and implementations
MS COCO
Cityscapes
KITTI
MSCOCO
MEIS
Latest papers
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.
YolactEdge: Real-time Instance Segmentation on the Edge
We propose YolactEdge, the first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
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.
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.
SOLOv2: Dynamic and Fast Instance Segmentation
open-mmlab/mmdetection
•
•
NeurIPS 2020
Importantly, we take one step further by dynamically learning the mask head of the object segmenter such that the mask head is conditioned on the location.
Deep Snake for Real-Time Instance Segmentation
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.
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
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.
YOLACT++: Better Real-time Instance Segmentation
dbolya/yolact
•
•
Then we produce instance masks by linearly combining the prototypes with the mask coefficients.
CenterMask : Real-Time Anchor-Free Instance Segmentation
youngwanLEE/centermask2
•
•
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.
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}.
