Bayesian Fusion of Active Contour Models and ConvNet Priors for Standing Dead Tree Segmentation
cs.CV
Submitted: 2024-10-09
Updated: 2026-09-22
Code: https://github.com/kevinzakka/spatial-transformer-network
Terminology
Sources
- Microsoft COCO: Common Objects in Context
- Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
- Object Detection with Deep Learning: A Review
- E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation
- End-to-End Deep Convolutional Active Contours for Image Segmentation
- Reformulating Level Sets as Deep Recurrent Neural Network Approach to Semantic Segmentation
- Deep Active Contours
- Deep Snake for Real-Time Instance Segmentation
- A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery
- Incremental kernel PCA and the Nystr\"om method
- A guide to convolution arithmetic for deep learning
- Weighted Intersection over Union (wIoU) for Evaluating Image Segmentation
- MMDetection: Open MMLab Detection Toolbox and Benchmark
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