Search Results for author:
Found 6 papers, 1 papers with code
Label Cleaning Multiple Instance Learning: Refining Coarse Annotations on Single Whole-Slide Images
Annotating cancerous regions in whole-slide images (WSIs) of pathology samples plays a critical role in clinical diagnosis, biomedical research, and machine learning algorithms development.
Attention-Aware Noisy Label Learning for Image Classification
In this paper, the attention-aware noisy label learning approach ($A^2NL$) is proposed to improve the discriminative capability of the network trained on datasets with potential label noise.
Deep Reinforcement Learning with Label Embedding Reward for Supervised Image Hashing
Deep hashing has shown promising results in image retrieval and recognition.
Conditional Generative Adversarial Network for Structured Domain Adaptation
In recent years, deep neural nets have triumphed over many computer vision problems, including semantic segmentation, which is a critical task in emerging autonomous driving and medical image diagnostics applications.
Compressive Quantization for Fast Object Instance Search in Videos
Most of current visual search systems focus on image-to-image (point-to-point) search such as image and object retrieval.
Additive Nearest Neighbor Feature Maps
In this paper, we present a concise framework to approximately construct feature maps for nonlinear additive kernels such as the Intersection, Hellinger's, and Chi^2 kernels.
