4.7k citations · 7.9k across the 26 of their papers we have counts for
4 papers · 1 filter
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
Di Lin, Jifeng Dai, Jiaya Jia +2
Large-scale data is of crucial importance for learning semantic segmentation models, but annotating per-pixel masks is a tedious and inefficient procedure. We note that for the top…
Rich Image Captioning in the Wild
Kenneth Tran, Xiaodong He, Lei Zhang +5
We present an image caption system that addresses new challenges of automatically describing images in the wild. The challenges include high quality caption quality with respect to…
Instance-sensitive Fully Convolutional Networks
Jifeng Dai, Kaiming He, Yi Li +2
Fully convolutional networks (FCNs) have been proven very successful for semantic segmentation, but the FCN outputs are unaware of object instances. In this paper, we develop FCNs…
Identity Mappings in Deep Residual Networks
Kaiming He, Xiangyu Zhang, Shaoqing Ren +1
Deep residual networks have emerged as a family of extremely deep architectures showing compelling accuracy and nice convergence behaviors. In this paper, we analyze the propagatio…