Browse > Computer Vision > Instance Segmentation

Instance Segmentation

83 papers with code · Computer Vision

Instance segmentation is the task of detecting and delineating each distinct object of interest appearing in an image.

State-of-the-art leaderboards

Latest papers with code

Explicit Shape Encoding for Real-Time Instance Segmentation

12 Aug 2019WenqiangX/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

32
12 Aug 2019

Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming

17 Jul 2019bethgelab/robust-detection-benchmark

The ability to detect objects regardless of image distortions or weather conditions is crucial for real-world applications of deep learning like autonomous driving.

AUTONOMOUS DRIVING DATA AUGMENTATION INSTANCE SEGMENTATION ROBUST OBJECT DETECTION

71
17 Jul 2019

Where are the Masks: Instance Segmentation with Image-level Supervision

2 Jul 2019ElementAI/wise_ils

A major obstacle in instance segmentation is that existing methods often need many per-pixel labels in order to be effective.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

6
02 Jul 2019

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

24 Jun 2019zhaoweicai/cascade-rcnn

In object detection, the intersection over union (IoU) threshold is frequently used to define positives/negatives.

#18 best model for Object Detection on COCO

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

760
24 Jun 2019

MMDetection: Open MMLab Detection Toolbox and Benchmark

17 Jun 2019open-mmlab/mmdetection

In this paper, we introduce the various features of this toolbox.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

5,754
17 Jun 2019

Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

4 Jun 2019Yang7879/3D-BoNet

The framework directly regresses 3D bounding boxes for all instances in a point cloud, while simultaneously predicting a point-level mask for each instance.

3D INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

74
04 Jun 2019

Data Augmentation for Object Detection via Progressive and Selective Instance-Switching

2 Jun 2019Hwang64/PSIS

For guiding our IS to obtain better object performance, we explore issues of instance imbalance and class importance in datasets, which frequently occur and bring adverse effect on detection performance.

DATA AUGMENTATION INSTANCE SEGMENTATION OBJECT DETECTION

50
02 Jun 2019