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Found 5 papers, 1 papers with code
Learn From Neighbour: A Curriculum That Train Low Weighted Samples By Imitating
Training hard examples aggravates the distribution shifting and damages the training.
GPPF: A General Perception Pre-training Framework via Sparsely Activated Multi-Task Learning
SIMT lays the foundation of pre-training with large-scale multi-task multi-domain datasets and is proved essential for stable training in our GPPF experiments.
PartialFed: Cross-Domain Personalized Federated Learning via Partial Initialization
The superiority of our algorithm is proved by demonstrating the new state-of-the-art results on cross-domain federated classification and detection.
Integrating Feature and Image Pyramid: A Lung Nodule Detector Learned in Curriculum Fashion
Meanwhile, our sampling strategy halves the training time of the proposal network on LUNA16.
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
The proposed method addresses two issues in adapting state- of-the-art generic object detection ConvNets (e. g., faster R-CNN) for face detection: (i) One is to eliminate the heuristic design of prede- fined anchor boxes in the region proposals network (RPN) by exploit- ing a 3D mean face model.
Ranked #7 on
Face Detection
on Annotated Faces in the Wild
