Search Results for author:
Found 4 papers, 3 papers with code
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
This work simultaneously considers the discriminability and transferability properties of deep representations in the typical supervised learning task, i. e., image classification.
Hierarchical Context Embedding for Region-based Object Detection
To address this issue, we present a simple but effective Hierarchical Context Embedding (HCE) framework, which can be applied as a plug-and-play component, to facilitate the classification ability of a series of region-based detectors by mining contextual cues.
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Extensive experiments on four benchmark datasets, including the large-scale iNaturalist ones, justify that the proposed BBN can significantly outperform state-of-the-art methods.
Ranked #37 on
Long-tail Learning
on CIFAR-10-LT (ρ=10)
Multi-Label Image Recognition with Graph Convolutional Networks
The task of multi-label image recognition is to predict a set of object labels that present in an image.
Ranked #12 on
Multi-Label Classification
on PASCAL VOC 2007
