Bin-Bin Gao

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All published works

Action	Title	Year	Authors
+ PDF Chat	SoftPatch+: Fully unsupervised anomaly classification and segmentation	2024	Chengjie Wang Xi Jiang Bin-Bin Gao Zhenye Gan Yong Liu Feng Zheng Lizhuang Ma
+ PDF Chat	MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection	2024	Xi Jiang Jian Li Hanqiu Deng Yong Liu Bin-Bin Gao Yifeng Zhou Jialin Li Chengjie Wang Feng Zheng
+ PDF Chat	Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt	2024	Jiaqi Liu Kai Wu Qiang Nie Huiling Chen Bin-Bin Gao Yong Liu Jinbao Wang Chengjie Wang Feng Zheng
+ PDF Chat	MatchDet: A Collaborative Framework for Image Matching and Object Detection	2024	Jinxiang Lai Wenlong Wu Bin-Bin Gao Jun Liu Jiawei Zhan Congchong Nie Yi Zeng Chengjie Wang
+ PDF Chat	SoftPatch: Unsupervised Anomaly Detection with Noisy Data	2024	Xi Jiang Huiling Chen Qiang Nie Yong Liu Jianlin Liu Bin-Bin Gao Jun Liu Chengjie Wang Feng Zheng
+	Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt	2024	Jiaqi Liu Kai Wu Qiang Nie Ying Chen Bin-Bin Gao Yong Liu Jinbao Wang Chengjie Wang Feng Zheng
+	Clustered-patch Element Connection for Few-shot Learning	2023	Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiaochen Chen Jun Liu Bin-Bin Gao Chengjie Wang
+ PDF Chat	SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning	2023	Jinxiang Lai Siqian Yang Wenlong Wu Tom Wu Guannan Jiang Xi Wang Jun Liu Bin-Bin Gao Wei Zhang Yuan Xie
+ PDF Chat	How to Reduce Change Detection to Semantic Segmentation	2023	Guohua Wang Bin-Bin Gao Chengjie Wang
+	SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning	2023	Jinxiang Lai Siqian Yang Wenlong Wu Tom Wu Guannan Jiang Xi Wang Jun Liu Bin-Bin Gao Wei Zhan Yuan Xie
+	Clustered-patch Element Connection for Few-shot Learning	2023	Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiaochen Chen Jun Liu Bin-Bin Gao Chengjie Wang
+	Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes	2023	Donghao Zhou Jialin Li Jinpeng Li Jiancheng Huang Qiang Nie Yong Liu Bin-Bin Gao Qiong Wang Pheng‐Ann Heng Guangyong Chen
+	MatchDet: A Collaborative Framework for Image Matching and Object Detection	2023	Jinxiang Lai Wenlong Wu Bin-Bin Gao Jun Liu Jiawei Zhan Congchong Nie Yi Zeng Chengjie Wang
+ PDF Chat	Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision	2022	Jiawei Zhan Jun Liu Wei Tang Guannan Jiang Xi Wang Bin-Bin Gao Tianliang Zhang Wenlong Wu Wei Zhang Chengjie Wang
+ PDF Chat	HDNet: A Hierarchically Decoupled Network for Crowd Counting	2022	Chenliang Gu Changan Wang Bin-Bin Gao Jun Liu Tianliang Zhang
+ PDF Chat	APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation	2022	Jiacheng Chen Bin-Bin Gao Zongqing Lu Jing‐Hao Xue Chengjie Wang Qingmin Liao
+	How to Reduce Change Detection to Semantic Segmentation	2022	Guohua Wang Bin-Bin Gao Chengjie Wang
+	tSF: Transformer-based Semantic Filter for Few-Shot Learning	2022	Jinxiang Lai Siqian Yang Wenlong Liu Yi Zeng Zhongyi Huang Wenlong Wu Jun Liu Bin-Bin Gao Chengjie Wang
+	Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective	2022	Jinxiang Lai Siqian Yang Guannan Jiang Xi Wang Yuxi Li Zihui Jia Xiaochen Chen Jun Liu Bin-Bin Gao Wei Zhang
+ PDF Chat	tSF: Transformer-Based Semantic Filter for Few-Shot Learning	2022	Jinxiang Lai Siqian Yang Wenlong Liu Yi Zeng Zhongyi Huang Wenlong Wu Jun Liu Bin-Bin Gao Chengjie Wang
+ PDF Chat	A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation	2021	Feng Luo Xiu Li Bin-Bin Gao Jiangpeng Yan
+ PDF Chat	Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition	2021	Bin-Bin Gao Hong-Yu Zhou
+	SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes	2021	Jiacheng Chen Bin-Bin Gao Zongqing Lu Jing‐Hao Xue Chengjie Wang Qingmin Liao
+	A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation	2021	Feng Luo Bin-Bin Gao Jiangpeng Yan Xiu Li
+	APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation	2021	Jiacheng Chen Bin-Bin Gao Zongqing Lu Jing‐Hao Xue Chengjie Wang Qingmin Liao
+	Multi-Label Image Recognition with Multi-Class Attentional Regions.	2020	Bin-Bin Gao Hong-Yu Zhou
+	Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation	2020	Bin-Bin Gao Xinxin Liu Hong-Yu Zhou Jianxin Wu Xin Geng
+ PDF Chat	Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors	2017	Hong-Yu Zhou Bin-Bin Gao Jianxin Wu
+ PDF Chat	Deep Label Distribution Learning With Label Ambiguity	2017	Bin-Bin Gao Chao Xing Chen-Wei Xie Jianxin Wu Xin Geng
+	Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition	2017	Hong-Yu Zhou Bin-Bin Gao Jianxin Wu
+	Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors	2017	Hong-Yu Zhou Bin-Bin Gao Jianxin Wu
+	A Fast and Robust TSVM for Pattern Classification	2017	Bin-Bin Gao Jianjun Wang
+	Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition	2017	Hong-Yu Zhou Bin-Bin Gao Jianxin Wu
+ PDF Chat	Exploit Bounding Box Annotations for Multi-Label Object Recognition	2016	Hao Yang Joey Tianyi Zhou Yu Zhang Bin-Bin Gao Jianxin Wu Jianfei Cai
+	Can Partial Strong Labels Boost Multi-label Object Recognition?	2015	Hao Yang Joey Tianyi Zhou Yu Zhang Bin-Bin Gao Jianxin Wu Jianfei Cai
+	Deep Spatial Pyramid: The Devil is Once Again in the Details	2015	Bin-Bin Gao Xiu-Shen Wei Jianxin Wu Weiyao Lin
+	Visual Recognition Using Directional Distribution Distance	2015	Jianxin Wu Bin-Bin Gao Guoqing Liu
+	Exploit Bounding Box Annotations for Multi-label Object Recognition	2015	Hao Yang Joey Tianyi Zhou Yu Zhang Bin-Bin Gao Jianxin Wu Jianfei Cai

Common Coauthors

Coauthor	Papers Together
Chengjie Wang	20
Jianxin Wu	11
Jun Liu	10
Hong-Yu Zhou	7
Jinxiang Lai	7
Siqian Yang	7
Wenlong Wu	5
Qiang Nie	4
Xi Wang	4
Yong Liu	4
Guannan Jiang	4
Wenlong Wu	4
Feng Zheng	4
Jianfei Cai	3
Jing‐Hao Xue	3
Joey Tianyi Zhou	3
Xiaochen Chen	3
Qingmin Liao	3
Jiacheng Chen	3
Xi Jiang	3
Jiawei Zhan	3
Yu Zhang	2
Congchong Nie	2
Hao Yang	2
Xin Geng	2
Xiu Li	2
Jinbao Wang	2
Jinxiang Lai	2
Jiangpeng Yan	2
Junhong Zhou	2
Yuan Xie	2
Kai Wu	2
Tianliang Zhang	2
Zhongyi Huang	2
Huiling Chen	2
Wenlong Liu	2
Yi Zeng	2
Tom Wu	2
Feng Luo	2
Zongqing Lu	2
Yuan Xie	2
Yong Liu	1
Wei Tang	1
Zongqing Lu	1
Hanqiu Deng	1
Yong Liu	1
Guangyong Chen	1
Zihui Jia	1
Guohua Wang	1
Wei Zhan	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	10
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	8
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	6
+ PDF Chat	Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation	2014	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	5
+ PDF Chat	HCP: A Flexible CNN Framework for Multi-Label Image Classification	2015	Yunchao Wei Wei Xia Min Lin Junshi Huang Bingbing Ni Jian Dong Yao Zhao Shuicheng Yan	5
+ PDF Chat	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	5
+ PDF Chat	SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation	2020	Xiaolin Zhang Yunchao Wei Yi Yang Thomas S. Huang	4
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	4
+ PDF Chat	Part-Aware Prototype Network for Few-Shot Semantic Segmentation	2020	Yongfei Liu Xiangyi Zhang Songyang Zhang Xuming He	4
+ PDF Chat	Learning to Compare: Relation Network for Few-Shot Learning	2018	Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip H. S. Torr Timothy M. Hospedales	4
+	Return of the Devil in the Details: Delving Deep into Convolutional Nets	2014	Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman	4
+	A Survey on Metric Learning for Feature Vectors and Structured Data	2013	Aurélien Bellet Amaury Habrard Marc Sebban	3
+ PDF Chat	PANet: Few-Shot Image Semantic Segmentation With Prototype Alignment	2019	Kaixin Wang Jun Hao Liew Yingtian Zou Daquan Zhou Jiashi Feng	3
+ PDF Chat	Focal Loss for Dense Object Detection	2017	Tsung-Yi Lin Priya Goyal Ross Girshick Kaiming He Piotr Dollár	3
+ PDF Chat	Exploit Bounding Box Annotations for Multi-Label Object Recognition	2016	Hao Yang Joey Tianyi Zhou Yu Zhang Bin-Bin Gao Jianxin Wu Jianfei Cai	3
+ PDF Chat	Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?	2020	Yonglong Tian Yue Wang Dilip Krishnan Joshua B. Tenenbaum Phillip Isola	3
+ PDF Chat	Prototype Mixture Models for Few-Shot Semantic Segmentation	2020	Boyu Yang Chang Liu Bohao Li Jianbin Jiao Qixiang Ye	3
+	One-Shot Learning for Semantic Segmentation	2017	Amirreza Shaban Shray Bansal Zhen Liu Irfan Essa Byron Boots	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+ PDF Chat	Pareto Self-Supervised Training for Few-Shot Learning	2021	Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang	3
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	3
+ PDF Chat	Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning	2021	Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan Mubarak Shah	3
+ PDF Chat	FCOS: Fully Convolutional One-Stage Object Detection	2019	Zhi Tian Chunhua Shen Hao Chen Tong He	3
+ PDF Chat	Feature Weighting and Boosting for Few-Shot Segmentation	2019	Khoi Nguyen Sinisa Todorovic	3
+ PDF Chat	PolyTransform: Deep Polygon Transformer for Instance Segmentation	2020	Justin Liang Namdar Homayounfar Wei-Chiu Ma Yuwen Xiong Rui Hu Raquel Urtasun	3
+ PDF Chat	Learning Dynamic Alignment via Meta-filter for Few-shot Learning	2021	Chengming Xu Yanwei Fu Chen Liu Chengjie Wang Jilin Li Feiyue Huang Li Zhang Xiangyang Xue	3
+ PDF Chat	CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning	2019	Chi Zhang Guosheng Lin Fayao Liu Rui Yao Chunhua Shen	3
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+ PDF Chat	Multi-instance learning by treating instances as non-I.I.D. samples	2009	Zhi‐Hua Zhou Yuyin Sun Yu-Feng Li	2
+ PDF Chat	Multi-evidence Filtering and Fusion for Multi-label Classification, Object Detection and Semantic Segmentation Based on Weakly Supervised Learning	2018	Weifeng Ge Sibei Yang Yizhou Yu	2
+ PDF Chat	Recurrent Attentional Reinforcement Learning for Multi-Label Image Recognition	2018	Tianshui Chen Zhouxia Wang Guanbin Li Liang Lin	2
+ PDF Chat	CNN-RNN: A Unified Framework for Multi-label Image Classification	2016	Jiang Wang Yi Yang Junhua Mao Zhiheng Huang Chang Huang Wei Xu	2
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+ PDF Chat	Multi-label Image Recognition by Recurrently Discovering Attentional Regions	2017	Zhouxia Wang Tianshui Chen Guanbin Li Ruijia Xu Liang Lin	2
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	2
+ PDF Chat	Hybrid Task Cascade for Instance Segmentation	2019	Kai Chen Wanli Ouyang Chen Change Loy Dahua Lin Jiangmiao Pang Jiaqi Wang Yu Xiong Xiaoxiao Li Shuyang Sun Wansen Feng	2
+ PDF Chat	Label Distribution Learning	2016	Xin Geng	2
+	MatConvNet - Convolutional Neural Networks for MATLAB	2014	Andrea Vedaldi Karel Lenc	2
+ PDF Chat	Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning	2019	Spyros Gidaris Nikos Komodakis	2
+ PDF Chat	Multi-scale Orderless Pooling of Deep Convolutional Activation Features	2014	Yunchao Gong Liwei Wang Ruiqi Guo Svetlana Lazebnik	2
+ PDF Chat	Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks	2016	Sean Bell C. Lawrence Zitnick Kavita Bala Ross Girshick	2
+	Fisher Kernel for Deep Neural Activations	2014	Donggeun Yoo Sunggyun Park Joon‐Young Lee In So Kweon	2
+ PDF Chat	DARNet: Deep Active Ray Network for Building Segmentation	2019	Dominic Cheng Renjie Liao Sanja Fidler Raquel Urtasun	2
+	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2015	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	2
+ PDF Chat	Multi-Label Image Recognition With Graph Convolutional Networks	2019	Zhao-Min Chen Xiu-Shen Wei Peng Wang Yanwen Guo	2
+	R-FCN: Object Detection via Region-based Fully Convolutional Networks	2016	Jifeng Dai Li Yi Kaiming He Jian Sun	2
+	Objects as Points	2019	Xingyi Zhou Dequan Wang Philipp Krähenbühl	2
+	Rich feature hierarchies for accurate object detection and semantic segmentation	2013	Ross Girshick Jeff Donahue Trevor Darrell Jitendra Malik	2