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Instance Segmentation

63 papers with code · Computer Vision

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

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Latest papers with code

Agnostic Lane Detection

2 May 2019cardwing/Codes-for-Lane-Detection

Lane detection is an important yet challenging task in autonomous driving, which is affected by many factors, e. g., light conditions, occlusions caused by other vehicles, irrelevant markings on the road and the inherent long and thin property of lanes.

AUTONOMOUS DRIVING INSTANCE SEGMENTATION LANE DETECTION MULTI-TASK LEARNING SEMANTIC SEGMENTATION

212
02 May 2019

Instance Segmentation of Biological Images Using Harmonic Embeddings

10 Apr 2019kulikovv/harmonic

We present a new instance segmentation approach tailored to biological images, where instances may correspond to individual cells, organisms or plant parts.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

7
10 Apr 2019

Actor-Critic Instance Segmentation

CVPR 2019 visinf/acis

Most approaches to visual scene analysis have emphasised parallel processing of the image elements.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

1
10 Apr 2019

YOLACT: Real-time Instance Segmentation

4 Apr 2019banayoyo/yoolact

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

REAL-TIME INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

0
04 Apr 2019

Weight Standardization

25 Mar 2019seujung/WeightStandardization_gluon

The micro-batch training setting is hard because small batch sizes are not enough for training networks with Batch Normalization (BN), while other normalization methods that do not rely on batch knowledge still have difficulty matching the performances of BN in large-batch training.

IMAGE CLASSIFICATION INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION VIDEO RECOGNITION

4
25 Mar 2019

BLVD: Building A Large-scale 5D Semantics Benchmark for Autonomous Driving

15 Mar 2019VCCIV/BLVD

Instead, BLVD aims to provide a platform for the tasks of dynamic 4D (3D+temporal) tracking, 5D (4D+interactive) interactive event recognition and intention prediction.

AUTONOMOUS DRIVING INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

70
15 Mar 2019

Object Counting and Instance Segmentation with Image-level Supervision

CVPR 2019 GuoleiSun/CountSeg

Moreover, our approach improves state-of-the-art image-level supervised instance segmentation with a relative gain of 17. 8% in terms of average best overlap, on the PASCAL VOC 2012 dataset.

INSTANCE SEGMENTATION OBJECT COUNTING SEMANTIC SEGMENTATION

14
06 Mar 2019

Mask Scoring R-CNN

CVPR 2019 zjhuang22/maskscoring_rcnn

In this paper, we study this problem and propose Mask Scoring R-CNN which contains a network block to learn the quality of the predicted instance masks.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

1,176
01 Mar 2019

Associatively Segmenting Instances and Semantics in Point Clouds

CVPR 2019 WXinlong/ASIS

A 3D point cloud describes the real scene precisely and intuitively. To date how to segment diversified elements in such an informative 3D scene is rarely discussed.

3D SEMANTIC SEGMENTATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

119
26 Feb 2019