Search Results for author: Zifeng Wu

Found 7 papers, 1 papers with code

Real-time Semantic Image Segmentation via Spatial Sparsity

no code implementations1 Dec 2017 Zifeng Wu, Chunhua Shen, Anton Van Den Hengel

We propose an approach to semantic (image) segmentation that reduces the computational costs by a factor of 25 with limited impact on the quality of results.

Semantic Segmentation

Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

3 code implementations30 Nov 2016 Zifeng Wu, Chunhua Shen, Anton Van Den Hengel

As a result, we are able to derive a new, shallower, architecture of residual networks which significantly outperforms much deeper models such as ResNet-200 on the ImageNet classification dataset.

Semantic Segmentation

Bridging Category-level and Instance-level Semantic Image Segmentation

no code implementations23 May 2016 Zifeng Wu, Chunhua Shen, Anton Van Den Hengel

(iii) As the performance of semantic category segmentation has a significant impact on the instance-level segmentation, which is the second step of our approach, we train fully convolutional residual networks to achieve the best semantic category segmentation accuracy.

Instance Segmentation Semantic Segmentation

High-performance Semantic Segmentation Using Very Deep Fully Convolutional Networks

no code implementations15 Apr 2016 Zifeng Wu, Chunhua Shen, Anton Van Den Hengel

(i) First, we evaluate different variations of a fully convolutional residual network so as to find the best configuration, including the number of layers, the resolution of feature maps, and the size of field-of-view.

Semantic Segmentation

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