Search Results - "Wei, Yunchao"

Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration by Yang, Zongxin, Wei, Yunchao, Yang, Yi

“…This paper investigates the principles of embedding learning to tackle the challenging semi-supervised video object segmentation. Unlike previous practices…”
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SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation by Zhang, Xiaolin, Wei, Yunchao, Yang, Yi, Huang, Thomas S.

“…One-shot image semantic segmentation poses a challenging task of recognizing the object regions from unseen categories with only one annotated example as…”
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CCNet: Criss-Cross Attention for Semantic Segmentation by Huang, Zilong, Wang, Xinggang, Huang, Lichao, Huang, Chang, Wei, Yunchao, Liu, Wenyu

“…Full-image dependencies provide useful contextual information to benefit visual understanding problems. In this work, we propose a Criss-Cross Network (CCNet)…”
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STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation by Wei, Yunchao, Liang, Xiaodan, Chen, Yunpeng, Shen, Xiaohui, Cheng, Ming-Ming, Feng, Jiashi, Zhao, Yao, Yan, Shuicheng

“…Recently, significant improvement has been made on semantic object segmentation due to the development of deep convolutional neural networks (DCNNs). Training…”
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Attentive Contexts for Object Detection by Li, Jianan, Wei, Yunchao, Liang, Xiaodan, Dong, Jian, Xu, Tingfa, Feng, Jiashi, Yan, Shuicheng

“…Modern deep neural network-based object detection methods typically classify candidate proposals using their interior features. However, global and local…”
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Proposal-Free Network for Instance-Level Object Segmentation by Liang, Xiaodan, Lin, Liang, Wei, Yunchao, Shen, Xiaohui, Yang, Jianchao, Yan, Shuicheng

“…Instance-level object segmentation is an important yet under-explored task. Most of state-of-the-art methods rely on region proposal methods to extract…”
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Concealed Object Detection for Activate Millimeter Wave Image by Liu, Ting, Zhao, Yao, Wei, Yunchao, Zhao, Yufeng, Wei, Shikui

“…Active millimeter wave (AMMW) imaging technique has been widely applied in the security industries due to its under-controlled privacy concerns and no health…”
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LayerCAM: Exploring Hierarchical Class Activation Maps for Localization by Jiang, Peng-Tao, Zhang, Chang-Bin, Hou, Qibin, Cheng, Ming-Ming, Wei, Yunchao

“…The class activation maps are generated from the final convolutional layer of CNN. They can highlight discriminative object regions for the class of interest…”
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Cross-Modal Retrieval With CNN Visual Features: A New Baseline by Wei, Yunchao, Zhao, Yao, Lu, Canyi, Wei, Shikui, Liu, Luoqi, Zhu, Zhenfeng, Yan, Shuicheng

“…Recently, convolutional neural network (CNN) visual features have demonstrated their powerful ability as a universal representation for various recognition…”
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Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation by Wei, Yunchao, Xiao, Huaxin, Shi, Honghui, Jie, Zequn, Feng, Jiashi, Huang, Thomas S.

“…Despite the remarkable progress, weakly supervised segmentation approaches are still inferior to their fully supervised counterparts. We obverse the…”
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Perceptual Generative Adversarial Networks for Small Object Detection by Jianan Li, Xiaodan Liang, Yunchao Wei, Tingfa Xu, Jiashi Feng, Shuicheng Yan

“…Detecting small objects is notoriously challenging due to their low resolution and noisy representation. Existing object detection pipelines usually detect…”
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Instance-Aware Hashing for Multi-Label Image Retrieval by Lai, Hanjiang, Yan, Pan, Shu, Xiangbo, Wei, Yunchao, Yan, Shuicheng

“…Similarity-preserving hashing is a commonly used method for nearest neighbor search in large-scale image retrieval. For image retrieval, deep-network-based…”
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Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach by Yunchao Wei, Jiashi Feng, Xiaodan Liang, Ming-Ming Cheng, Yao Zhao, Shuicheng Yan

“…We investigate a principle way to progressively mine discriminative object regions using classification networks to address the weakly-supervised semantic…”
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Deep Self-Taught Learning for Weakly Supervised Object Localization by Zequn Jie, Yunchao Wei, Xiaojie Jin, Jiashi Feng, Wei Liu

“…Most existing weakly supervised localization (WSL) approaches learn detectors by finding positive bounding boxes based on features learned with image-level…”
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Learning to Segment Human by Watching YouTube by Liang, Xiaodan, Wei, Yunchao, Lin, Liang, Chen, Yunpeng, Shen, Xiaohui, Yang, Jianchao, Yan, Shuicheng

“…An intuition on human segmentation is that when a human is moving in a video, the video-context (e.g., appearance and motion clues) may potentially infer…”
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Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis by Chiu, Mang Tik, Xu, Xingqian, Wei, Yunchao, Huang, Zilong, Schwing, Alexander G., Brunner, Robert, Khachatrian, Hrant, Karapetyan, Hovnatan, Dozier, Ivan, Rose, Greg, Wilson, David, Tudor, Adrian, Hovakimyan, Naira, Huang, Thomas S., Shi, Honghui

“…The success of deep learning in visual recognition tasks has driven advancements in multiple fields of research. Particularly, increasing attention has been…”
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Regional Interactive Image Segmentation Networks by JunHao Liew, Yunchao Wei, Wei Xiong, Sim-Heng Ong, Jiashi Feng

“…The interactive image segmentation model allows users to iteratively add new inputs for refinement until a satisfactory result is finally obtained. Therefore,…”
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AINet: Association Implantation for Superpixel Segmentation by Wang, Yaxiong, Wei, Yunchao, Qian, Xueming, Zhu, Li, Yang, Yi

“…Recently, some approaches are proposed to harness deep convolutional networks to facilitate superpixel segmentation. The common practice is to first evenly…”
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Towards Computational Baby Learning: A Weakly-Supervised Approach for Object Detection by Liang, Xiaodan, Liu, Si, Wei, Yunchao, Liu, Luoqi, Lin, Liang, Yan, Shuicheng

“…Intuitive observations show that a baby may inherently possess the capability of recognizing a new visual concept (e.g., chair, dog) by learning from only very…”
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Geometry-Aware Distillation for Indoor Semantic Segmentation by Jiao, Jianbo, Wei, Yunchao, Jie, Zequn, Shi, Honghui, Lau, Rynson, Huang, Thomas S.

“…It has been shown that jointly reasoning the 2D appearance and 3D information from RGB-D domains is beneficial to indoor scene semantic segmentation. However,…”
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