Richer Convolutional Features for Edge Detection

Vision Transformers with Hierarchical Attention

Richer Convolutional Features for Edge Detection

RefinedBox: Refining for Fewer and High-quality Object Proposals

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

DEL: Deep Embedding Learning for Efficient Image Segmentation

Revisiting Computer-Aided Tuberculosis Diagnosis (IEEE TPAMI)

Semantic Edge Detection with Diverse Deep Supervision

BING: Binarized Normed Gradients for Objectness Estimation at 300fps

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

HFS: Hierarchical Feature Selection for Efficient Image Segmentation

Richer Convolutional Features for Edge Detection

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

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

DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection