Yun Liu

RCF. Richer Convolutional Features for Edge Detection

HAT-Net. Vision Transformers with Hierarchical Attention

RCF-PyTorch. Richer Convolutional Features for Edge Detection

HFS. HFS: Hierarchical Feature Selection for Efficient Image Segmentation

DEL. DEL: Deep Embedding Learning for Efficient Image Segmentation

plot-edge-pr-curves. The code and data to plot edge PR curves for many existing edge detectors

FastSaliency. Code for "SAMNet: Stereoscopically Attentive Multi-scale Network for Lightweight Salient Object Detection" and "Lightweight Salient Object Detection via Hierarchical Visual Perception Learning"

LIID. Leveraging Instance-, Image- and Dataset-Level Information for Weakly Supervised Instance Segmentation

BING. BING: Binarized Normed Gradients for Objectness Estimation at 300fps

MiniSeg. MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation

DDS. Semantic Edge Detection with Diverse Deep Supervision

Tuberculosis. Revisiting Computer-Aided Tuberculosis Diagnosis (IEEE TPAMI)

DNA. DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection

ATDF. A Simple Saliency Detection Approach via Automatic Top-Down Feature Fusion

RCF-Jittor. Richer Convolutional Features for Edge Detection

RefinedBox. RefinedBox: Refining for Fewer and High-quality Object Proposals