img.
: image level | vid.
: video level | shot.
: single/few/one shot; | point.
: point cloud level; | oth.
: semi-/weakly-/Un-supervised
Statistics: 🔥 code is available & stars >= 100 | ⭐ popular & cited in a survey | 🌻 natural scene images | 🌎 remote sensing images | 🏥 medical images
- [ECCV] Conditional Convolutions for Instance Segmentation. [pytorch] [
img.
] 🌻 - [ECCV] Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset. [tensorflow] [
img.
] 🏥 - [ECCV] A General Toolbox for Identifying Object Detection Errors. [code] [
img.
] 🌻 - [ECCV] The Semantic Mutex Watershed for Efficient
Bottom-Up Semantic Instance Segmentation. [
img.
] 🌻 - [ECCV] Regression of Instance Boundary by Aggregated CNN and GCN. [
img.
] 🏥 - [ECCV] STEm-Seg: Spatio-temporal Embeddings for Instance Segmentation in Videos. [pytorch] [
vid.
] 🌻 - [ECCV] SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation. [pytorch] [
img.
,vid.
] 🌻 - [ECCV] Learning with Noisy Class Labels for Instance Segmentation. [pytorch] [
img.
] 🌻 - [ECCV] Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation. [pytorch] [
img.
] 🌻 - [ECCV] Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation. [
img.
] 🌻 - [ECCV] The Devil is in Classification: A Simple Framework for Long-tail Instance Segmentation. [pytorch] [
img.
] 🌻 - [ECCV] SOLO: Segmenting Objects by Locations. [pytorch] [
img.
] 🌻 - [ECCV] LevelSet R-CNN: A Deep Variational Method for Instance Segmentation. [
img.
] 🌻 - [ECCV] Supervised Edge Attention Network for Accurate Image Instance Segmentation. [pytorch] [
img.
] 🌻 - [ECCV] Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation. [
point.
] - [ECCV] Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds. [
point.
] - [ECCV] Instance-Aware Embedding for Point Cloud Instance Segmentation. [
point.
] - [ECCV] Naive-Student: Leveraging Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation. [
vid.
] 🌻 - [CVPR] BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation. [
img.
] 🌻 - [CVPR] Deep Snake for Real-Time Instance Segmentation. [pytorch] [
img.
] 🌻 - [CVPR] Instance Segmentation of Biological Images Using Harmonic Embeddings. [pytorch] [
img.
] 🏥 - [CVPR] CenterMask: Real-Time Anchor-Free Instance Segmentation. [pytorch] [
img.
] 🌻 - [CVPR] D2Det: Towards High Quality Object Detection and Instance Segmentation. [pytorch] [
img.
] 🌻 - [CVPR] PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation. [pytorch] [
point.
] - [CVPR] OccuSeg: Occupancy-Aware 3D Instance Segmentation. [
point.
] - [CVPR] Joint 3D Instance Segmentation and Object Detection for Autonomous Driving. [
point.
] - [CVPR] PolyTransform: Deep Polygon Transformer for Instance Segmentation. [
point.
] - [CVPR] 3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation. [tensorflow] [
point.
] - [CVPR] End-to-End 3D Point Cloud Instance Segmentation Without Detection. [
point.
] - [CVPR] Density-Based Clustering for 3D Object Detection in Point Clouds. [
point.
] - [CVPR] FGN: Fully Guided Network for Few-Shot Instance Segmentation. [
shot.
] - [CVPR] PolarMask: Single Shot Instance Segmentation With Polar Representation. [pytorch] [
shot.
] - [CVPR] Mask Encoding for Single Shot Instance Segmentation. [pytorch] [
shot.
] - [CVPR] Video Instance Segmentation Tracking with a Modified VAE Architecture. [
vid.
] - [CVPR] Learning Saliency Propagation for Semi-Supervised Instance Segmentation. [pytorch] [
oth.
] 🌻 - [CVPR] Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. [
oth.
] 🏥 - [AAAI] RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation. [pytorch] [
img.
] 🌻 - [AAAI] Object-Guided Instance Segmentation for Biological Images. [
img.
] 🏥 - [AAAI] JSNet: Joint Instance and Semantic Segmentation of 3D Point Clouds. [tensorflow] [
point.
]
- [CVPR] Octree Guided CNN With Spherical Kernels for 3D Point Clouds. [tensorflow] [
point.
] - [CVPR] JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields. [pytorch] [
point.
] - [CVPR] Associatively Segmenting Instances and Semantics in Point Clouds. [tensorflow] [
point.
] - [CVPR] 3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. [pytorch] [
point.
] - [CVPR] GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud. [tensorflow] [
point.
] - [ICCV] 3D Instance Segmentation via Multi-Task Metric Learning. [tensorflow] [
point.
] - [ICCV] Rescan: Inductive Instance Segmentation for Indoor RGBD Scans. [
point.
]