Browse > Computer Vision > Instance Segmentation

Instance Segmentation

83 papers with code ยท 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 without code

LVIS: A Dataset for Large Vocabulary Instance Segmentation

CVPR 2019

We plan to collect ~2 million high-quality instance segmentation masks for over 1000 entry-level object categories in 164k images.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

Attentive Normalization

4 Aug 2019

The weights are instance-specific and learned in a way that channel-wise attention is considered, similar in spirit to the squeeze module in the SE unit.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation

30 Jul 2019

We show that our method, trained on this dataset, can produce sharp and accurate masks, outperforming state-of-the-art methods on unseen object instance segmentation.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Grape detection, segmentation and tracking using deep neural networks and three-dimensional association

26 Jul 2019

In a dataset containing 408 grape clusters from images taken on field, we have reached a F1-score up to 0. 91 for instance segmentation, a fine separation of each cluster from other structures in the image that allows a more accurate assessment of fruit size and shape.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Distill-to-Label: Weakly Supervised Instance Labeling Using Knowledge Distillation

26 Jul 2019

Weakly supervised instance labeling using only image-level labels, in lieu of expensive fine-grained pixel annotations, is crucial in several applications including medical image analysis.

BREAST CANCER DETECTION INSTANCE SEGMENTATION MULTIPLE INSTANCE LEARNING SEMANTIC SEGMENTATION

Object as Distribution

25 Jul 2019

We provide qualitative evaluation of this representation for the object detection task and quantitative evaluation of its use in a baseline algorithm for the instance segmentation task.

AUTONOMOUS DRIVING INSTANCE SEGMENTATION OBJECT DETECTION SCENE UNDERSTANDING SEMANTIC SEGMENTATION

U4D: Unsupervised 4D Dynamic Scene Understanding

23 Jul 2019

We introduce the first approach to solve the challenging problem of unsupervised 4D visual scene understanding for complex dynamic scenes with multiple interacting people from multi-view video.

3D POSE ESTIMATION INSTANCE SEGMENTATION SCENE UNDERSTANDING SEMANTIC SEGMENTATION

DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM

22 Jul 2019

We present DetectFusion, an RGB-D SLAM system that runs in real-time and can robustly handle semantically known and unknown objects that can move dynamically in the scene.

INSTANCE SEGMENTATION OBJECT DETECTION OBJECT RECONSTRUCTION SEMANTIC SEGMENTATION

Slot Based Image Augmentation System for Object Detection

19 Jul 2019

As the core concept of Deep Learning, Deep Neural Networks (DNNs) and associated training are highly integrated with task-driven modelling, having great effects on accurate detection.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

MaskPlus: Improving Mask Generation for Instance Segmentation

15 Jul 2019

Instance segmentation is a promising yet challenging topic in computer vision.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION