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文章目录
- ECCV 2020
- CVPR 2020
- ICCV 2019
- CVPR 2019
- CVPR 2018
- ICCV 2017
- CVPR 2017
- NeuRIPS 2017
- ECCV 2016
- CVPR 2015
ECCV 2020
- SOLO: Segmenting Objects by Locations
- SOLOv2:Dynamic, Faster and Stronger,Arxiv 03/2020
- CondInst: Conditional Convolutions for Instance Segmentation, oral
- Point-Set Anchors for Object Detection,Instance Segmentation and Pose Estimation
CVPR 2020
- PolarMask: Single Shot Instance Segmentation with Polar Representation, oral
- PointRend: Image Segmentation as Rendering, oral
- BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
- CenterMask: single shot instance segmentation with point representation
- MEInst: Mask Encoding for Single ShotInstance Segmentation
ICCV 2019
- ESE-Seg: Explicit Shape Encoding for Real-Time Instance Segmentation
- YOLACT: Real-time Instance Segmentation
- TensorMask: A Foundation for Dense Object Segmentation
- FCOS: Fully Convolutional One-Stage Object Detection
CVPR 2019
- Occupancy Networks:Learning 3D Reconstruction in Function Space
- Mask Scoring R-CNN, CVPR 2019
CVPR 2018
- PANet: Path Aggregation Network for Instance Segmentation
ICCV 2017
Mask R-CNN
, Best paper
CVPR 2017
- FCIS: Fully Convolutional Instance-aware Semantic Segmentation
NeuRIPS 2017
- Associative Embedding: End-to-End Learning for Joint Detection and Grouping
ECCV 2016
- InstanceFCN: Instance-sensitive Fully Convolutional Networks
CVPR 2015
- FCN: Fully Convolutional Networks for Semantic Segmentation