Search Results for author:
Found 5 papers, 4 papers with code
Balancing Bias and Variance for Active Weakly Supervised Learning
We propose to conduct novel active deep multiple instance learning that samples a small subset of informative instances for annotation, aiming to significantly boost the instance-level prediction.
Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection
BN-SVP essentially performs dynamic non-parametric hierarchical clustering with an enhanced self-transition that groups segments in a video into temporally consistent and semantically coherent hidden states that can be naturally interpreted as scenes.
Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval
Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) aims at finding a specific image from a large gallery given a query sketch.
Active Deep Multiple Instance Learning
We propose a novel active deep multiple instance learning (ADMIL) model that samples a small subset of informative instances for annotation, aiming to significantly boost the instance-level prediction.
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning
However, solely focusing on a single instance in a bag makes the model less robust to outliers or multi-modal scenarios, where a single bag contains a diverse set of positive instances.
