829 citations · 4.3k across the 90 of their papers we have counts for
20 papers · 2 filters
Delving Deep into Label Smoothing
Chang-Bin Zhang, Peng-Tao Jiang, Qibin Hou +4
Label smoothing is an effective regularization tool for deep neural networks (DNNs), which generates soft labels by applying a weighted average between the uniform distribution and…
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
Guoliang Kang, Yunchao Wei, Yi Yang +2
Domain adaptive semantic segmentation aims to train a model performing satisfactory pixel-level predictions on the target with only out-of-domain (source) annotations. The conventi…
LID 2020: The Learning from Imperfect Data Challenge Results
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng +32
Learning from imperfect data becomes an issue in many industrial applications after the research community has made profound progress in supervised learning from perfectly annotate…
Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration
Zongxin Yang, Yunchao Wei, Yi Yang
This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation. Unlike previous practices that focus on exploring…
Referring Image Segmentation via Cross-Modal Progressive Comprehension
Shaofei Huang, Tianrui Hui, Si Liu +5
Referring image segmentation aims at segmenting the foreground masks of the entities that can well match the description given in the natural language expression. Previous approach…
Inter-Image Communication for Weakly Supervised Localization
Xiaolin Zhang, Yunchao Wei, Yi Yang
Weakly supervised localization aims at finding target object regions using only image-level supervision. However, localization maps extracted from classification networks are often…
Rethinking Localization Map: Towards Accurate Object Perception with Self-Enhancement Maps
Xiaolin Zhang, Yunchao Wei, Yi Yang +1
Recently, remarkable progress has been made in weakly supervised object localization (WSOL) to promote object localization maps. The common practice of evaluating these maps applie…
Sketch-Guided Scenery Image Outpainting
Yaxiong Wang, Yunchao Wei, Xueming Qian +2
The outpainting results produced by existing approaches are often too random to meet users' requirement. In this work, we take the image outpainting one step forward by allowing us…
Focus Longer to See Better:Recursively Refined Attention for Fine-Grained Image Classification
Prateek Shroff, Tianlong Chen, Yunchao Wei +1
Deep Neural Network has shown great strides in the coarse-grained image classification task. It was in part due to its strong ability to extract discriminative feature representati…
Omni-supervised Facial Expression Recognition via Distilled Data
Ping Liu, Yunchao Wei, Zibo Meng +3
Facial expression plays an important role in understanding human emotions. Most recently, deep learning based methods have shown promising for facial expression recognition. Howeve…
The 1st Agriculture-Vision Challenge: Methods and Results
Mang Tik Chiu, Xingqian Xu, Kai Wang +39
The first Agriculture-Vision Challenge aims to encourage research in developing novel and effective algorithms for agricultural pattern recognition from aerial images, especially f…
VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification
Zhedong Zheng, Tao Ruan, Yunchao Wei +2
One fundamental challenge of vehicle re-identification (re-id) is to learn robust and discriminative visual representation, given the significant intra-class vehicle variations acr…
Alleviating Semantic-level Shift: A Semi-supervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang, Yunchao Wei, Rogerior Feris +4
Learning segmentation from synthetic data and adapting to real data can significantly relieve human efforts in labelling pixel-level masks. A key challenge of this task is how to a…
Laplacian Denoising Autoencoder
Jianbo Jiao, Linchao Bao, Yunchao Wei +4
While deep neural networks have been shown to perform remarkably well in many machine learning tasks, labeling a large amount of ground truth data for supervised training is usuall…
Memory Aggregation Networks for Efficient Interactive Video Object Segmentation
Jiaxu Miao, Yunchao Wei, Yi Yang
Interactive video object segmentation (iVOS) aims at efficiently harvesting high-quality segmentation masks of the target object in a video with user interactions. Most previous st…
Collaborative Video Object Segmentation by Foreground-Background Integration
Zongxin Yang, Yunchao Wei, Yi Yang
This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation. Different from previous practices that only explor…
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation
Zhonghao Wang, Mo Yu, Yunchao Wei +5
We consider the problem of unsupervised domain adaptation for semantic segmentation by easing the domain shift between the source domain (synthetic data) and the target domain (rea…
AlignSeg: Feature-Aligned Segmentation Networks
Zilong Huang, Yunchao Wei, Xinggang Wang +3
Aggregating features in terms of different convolutional blocks or contextual embeddings has been proven to be an effective way to strengthen feature representations for semantic s…
University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization
Zhedong Zheng, Yunchao Wei, Yi Yang
We consider the problem of cross-view geo-localization. The primary challenge of this task is to learn the robust feature against large viewpoint changes. Existing benchmarks can h…
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis
Mang Tik Chiu, Xingqian Xu, Yunchao Wei +12
The success of deep learning in visual recognition tasks has driven advancements in multiple fields of research. Particularly, increasing attention has been drawn towards its appli…