awesome-occlusion-detection
github.com/lcylmhlcy/awesome-occlusion-detection ↗A survey of occlusion handling in object detection
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51
Curated Resources
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23 hours ago
Last Refreshed
GeneralPedestrian DetectionFace detectionCar DetectionStereoObject TrackingOthers
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me object tracking resources from awesome-occlusion-detection"
Installation instructions →What's inside
Object Tracking
- A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling
- Context-aware three-dimensional mean-shift with occlusion handling for robust object tracking in RGB-D videos
- Multi-person tracking-by-detection with local particle filtering and global occlusion handling
- Real-time multiple objects tracking with occlusion handling in dynamic scenes
- Robust Occlusion Handling in Object Tracking
- Towards occlusion handling: object tracking with background estimation
General
- A-fast-rcnn: Hard positive generation via adversary for object detection
- Amodal instance segmentation
- Amodal instance segmentation with kins dataset
- A segmentation-aware object detection model with occlusion handling
- A two-stage classifier architecture for detecting objects under real-world occlusion patterns
- Compositional convolutional neural networks: A robust and interpretable model for object recognition under occlusion
Pedestrian Detection
- An HOG-LBP human detector with partial occlusion handling
- Deep learning strong parts for pedestrian detection
- Multi-cue pedestrian classification with partial occlusion handling
- Occlusion-aware R-CNN: detecting pedestrians in a crowd
- Overcoming Occlusion in the Automotive Environment—A Review
- Repulsion Loss: Detecting Pedestrians in a Crowd
Face detection
Car Detection
- Combining Compositional Models and Deep Networks For Robust Object Classification under Occlusion
- Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
- Inferring occluded features for fast object detection
- Multilevel Framework to Detect and Handle Vehicle Occlusion
- Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
Others
- Explicit occlusion modeling for 3d object class representations
- Instance segmentation of visible and occluded regions for finding and picking target from a pile of objects
- Monocular 3D scene understanding with explicit occlusion reasoning
- Seeing behind things: Extending semantic segmentation to occluded regions
- Seethrough: Finding objects in heavily occluded indoor scene images
Showing a sample of 51 resources. View the full list on GitHub →