Browse > Computer Vision > Instance Segmentation

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.

State-of-the-art leaderboards

Latest papers without code

Pose2Seg: Detection Free Human Instance Segmentation

CVPR 2019 Song-Hai Zhang et al

We demonstrate that our pose-based framework can achieve better accuracy than the state-of-art detection-based approach on the human instance segmentation problem, and can moreover better handle occlusion.

HUMAN INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

01 Jun 2019

PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding

CVPR 2019 Kaichun Mo et al

We benchmark four state-of-the-art 3D deep learning algorithms for fine-grained semantic segmentation and three baseline methods for hierarchical semantic segmentation.

3D OBJECT UNDERSTANDING INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

01 Jun 2019

Single-Image Piece-Wise Planar 3D Reconstruction via Associative Embedding

CVPR 2019 Zehao Yu et al

In the first stage, we train a CNN to map each pixel to an embedding space where pixels from the same plane instance have similar embeddings.

3D RECONSTRUCTION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

01 Jun 2019

Self-Supervised Learning via Conditional Motion Propagation

CVPR 2019 Xiaohang Zhan et al

Instead of explicitly modeling the motion probabilities, we design the pretext task as a conditional motion propagation problem.

HUMAN PARSING INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

01 Jun 2019

Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations

CVPR 2019 Jiwoon Ahn et al

For generating the pseudo labels, we first identify confident seed areas of object classes from attention maps of an image classification model, and propagate them to discover the entire instance areas with accurate boundaries.

IMAGE CLASSIFICATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

01 Jun 2019

Amodal Instance Segmentation With KINS Dataset

CVPR 2019 Lu Qi et al

We propose the network structure to reason invisible parts via a new multi-task framework with Multi-View Coding (MVC), which combines information in various recognition levels.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

01 Jun 2019

Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification From the Bottom Up

CVPR 2019 Weifeng Ge et al

We build complementary parts models in a weakly supervised manner to retrieve information suppressed by dominant object parts detected by convolutional neural networks.

FINE-GRAINED IMAGE CLASSIFICATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION WEAKLY SUPERVISED OBJECT DETECTION

01 Jun 2019

GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

CVPR 2019 Li Yi et al

We introduce a novel 3D object proposal approach named Generative Shape Proposal Network (GSPN) for instance segmentation in point cloud data.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

01 Jun 2019

Associatively Segmenting Instances and Semantics in Point Clouds

CVPR 2019 Xinlong Wang et al

Specifically, we make instance segmentation benefit from semantic segmentation through learning semantic-aware point-level instance embedding.

3D SEMANTIC SEGMENTATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

01 Jun 2019