Search Results for author:
Found 9 papers, 4 papers with code
Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection
Specifically, our decoder consists of two branches, a saliency branch and a contour branch.
Texture-guided Saliency Distilling for Unsupervised Salient Object Detection
In this paper, we propose a novel USOD method to mine rich and accurate saliency knowledge from both easy and hard samples.
Benchmarking Deep Models for Salient Object Detection
In recent years, deep network-based methods have continuously refreshed state-of-the-art performance on Salient Object Detection (SOD) task.
Activation to Saliency: Forming High-Quality Labels for Completely Unsupervised Salient Object Detection
Moreover, a new loss function is proposed to facilitate the generation of high-quality pseudo labels.
Contour Loss: Boundary-Aware Learning for Salient Object Segmentation
Yet the Contour Loss emphasizes on the local saliency.
Confidence-guided Adaptive Gate and Dual Differential Enhancement for Video Salient Object Detection
Video salient object detection (VSOD) aims to locate and segment the most attractive object by exploiting both spatial cues and temporal cues hidden in video sequences.
3D-VFD: A Victim-free Detector against 3D Adversarial Point Clouds
3D deep models consuming point clouds have achieved sound application effects in computer vision.
Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography
Diffusion MRI tractography is an important tool for identifying and analyzing the intracranial course of cranial nerves (CNs).
Cohort-Individual Cooperative Learning for Multimodal Cancer Survival Analysis
In this paper, we propose a Cohort-individual Cooperative Learning (CCL) framework to advance cancer survival analysis by collaborating knowledge decomposition and cohort guidance.
