May 24, 2021 · Artificial Intelligence

BCNet: A Bilayer Instance Segmentation Network for Occlusion‑Aware Object Detection

The paper proposes BCNet, a lightweight bilayer instance segmentation network that explicitly models occluder and occludee relationships by treating each region of interest as two overlapping layers, achieving significant performance gains on COCO, COCOA and KINS datasets under heavy occlusion.

Computer VisionDeep Learningbilayer network

0 likes · 10 min read

BCNet: A Bilayer Instance Segmentation Network for Occlusion‑Aware Object Detection

Kuaishou Audio & Video Technology

May 21, 2021 · Artificial Intelligence

How BCNet Tackles Occlusion in Instance Segmentation with a Dual‑Layer GCN

The article introduces BCNet, a lightweight dual‑layer instance segmentation network that models images as overlapping occluder and occludee layers, enabling effective handling of heavy object occlusion and achieving significant performance gains on COCO, COCOA and KINS datasets compared to existing methods.

graph convolutional networkinstance segmentationocclusion handling

0 likes · 11 min read

How BCNet Tackles Occlusion in Instance Segmentation with a Dual‑Layer GCN