Search Results for author:
Found 8 papers, 2 papers with code
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems
In this paper, we propose a random-patch based defense strategy to robustly detect physical attacks for Face Recognition System (FRS).
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Specifically, there are an object detection task (consisting of an instance-classification task and a localization task) and an image-classification task in our framework, responsible for utilizing the two types of supervision.
Equalized Focal Loss for Dense Long-Tailed Object Detection
The conventional focal loss balances the training process with the same modulating factor for all categories, thus failing to handle the long-tailed problem.
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
The application of deep learning to medical image segmentation has been hampered due to the lack of abundant pixel-level annotated data.
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Coarse-to-fine models and cascade segmentation architectures are widely adopted to solve the problem of large scale variations in medical image segmentation.
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation
In this paper, we develop a cross-modal self-attention distillation network by fully exploiting the encoded information of the intermediate layers from different modalities, and the extracted attention maps of different modalities enable the model to transfer the significant spatial information with more details.
Detecting "Smart" Spammers On Social Network: A Topic Model Approach
Spammer detection on social network is a challenging problem.
