Pyramid Scene Parsing Network
Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by different-region-base...
Publications
View AllHigh Performance Visual Tracking with Siamese Region Proposal Network
Visual object tracking has been a fundamental topic in recent years and many deep learning based trackers have achieved state-of-the-art performance on multiple benchmarks. Howe...
PVT v2: Improved baselines with pyramid vision transformer
Transformer recently has presented encouraging progress in computer vision.\nIn this work, we present new baselines by improving the original Pyramid Vision\nTransformer (PVT v1...
ICNet for Real-Time Semantic Segmentation on High-Resolution Images
We focus on the challenging task of real-time semantic segmentation in this paper. It finds many practical applications and yet is with fundamental difficulty of reducing a larg...
Distractor-Aware Siamese Networks for Visual Object Tracking
Recently, Siamese networks have drawn great attention in visual tracking community because of their balanced accuracy and speed. However, features used in most Siamese tracking ...
Context Encoding for Semantic Segmentation
Recent work has made significant progress in improving spatial resolution for pixelwise labeling with Fully Convolutional Network (FCN) framework by employing Dilated/Atrous con...
Affiliated Researchers
Institution Info
- Type
- company
- Country
- HK
- Publications
- 6
- Citations
- 23,710
External Links
Identifiers
- ROR
- https://ror.org/036wd5777