Timezone: »
Object detection has achieved promising success, but requires large-scale fully-annotated data, which is time-consuming and labor-extensive. Therefore, we consider object detection with mixed supervision, which learns novel object categories using weak annotations with the help of full annotations of existing base object categories. Previous works using mixed supervision mainly learn the class-agnostic objectness from fully-annotated categories, which can be transferred to upgrade the weak annotations to pseudo full annotations for novel categories. In this paper, we further transfer mask prior and semantic similarity to bridge the gap between novel categories and base categories. Specifically, the ability of using mask prior to help detect objects is learned from base categories and transferred to novel categories. Moreover, the semantic similarity between objects learned from base categories is transferred to denoise the pseudo full annotations for novel categories. Experimental results on three benchmark datasets demonstrate the effectiveness of our method over existing methods. Codes are available at https://github.com/bcmi/TraMaS-Weak-Shot-Object-Detection.
Author Information
Yan Liu (Shanghai Jiao Tong University)
Zhijie Zhang (ShangHai Jiao Tong University)
Li Niu (Shanghai Jiao Tong University)
Junjie Chen (Shanghai Jiao Tong University)
Liqing Zhang (Shanghai Jiao Tong University)
More from the Same Authors
-
2022 Poster: Weak-shot Semantic Segmentation via Dual Similarity Transfer »
Junjie Chen · Li Niu · Siyuan Zhou · Jianlou Si · Chen Qian · Liqing Zhang -
2022 Spotlight: Lightning Talks 6B-4 »
Junjie Chen · Chuanxia Zheng · JINLONG LI · Yu Shi · Shichao Kan · Yu Wang · FermÃn Travi · Ninh Pham · Lei Chai · Guobing Gan · Tung-Long Vuong · Gonzalo Ruarte · Tao Liu · Li Niu · Jingjing Zou · Zequn Jie · Peng Zhang · Ming LI · Yixiong Liang · Guolin Ke · Jianfei Cai · Gaston Bujia · Sunzhu Li · Siyuan Zhou · Jingyang Lin · Xu Wang · Min Li · Zhuoming Chen · Qing Ling · Xiaolin Wei · Xiuqing Lu · Shuxin Zheng · Dinh Phung · Yigang Cen · Jianlou Si · Juan Esteban Kamienkowski · Jianxin Wang · Chen Qian · Lin Ma · Benyou Wang · Yingwei Pan · Tie-Yan Liu · Liqing Zhang · Zhihai He · Ting Yao · Tao Mei -
2022 Spotlight: Weak-shot Semantic Segmentation via Dual Similarity Transfer »
Junjie Chen · Li Niu · Siyuan Zhou · Jianlou Si · Chen Qian · Liqing Zhang -
2022 Spotlight: Lightning Talks 1B-4 »
Andrei Atanov · Shiqi Yang · Wanshan Li · Yongchang Hao · Ziquan Liu · Jiaxin Shi · Anton Plaksin · Jiaxiang Chen · Ziqi Pan · yaxing wang · Yuxin Liu · Stepan Martyanov · Alessandro Rinaldo · Yuhao Zhou · Li Niu · Qingyuan Yang · Andrei Filatov · Yi Xu · Liqing Zhang · Lili Mou · Ruomin Huang · Teresa Yeo · kai wang · Daren Wang · Jessica Hwang · Yuanhong Xu · Qi Qian · Hu Ding · Michalis Titsias · Shangling Jui · Ajay Sohmshetty · Lester Mackey · Joost van de Weijer · Hao Li · Amir Zamir · Xiangyang Ji · Antoni Chan · Rong Jin -
2022 Spotlight: UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator »
Ziqi Pan · Li Niu · Liqing Zhang -
2022 Poster: UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator »
Ziqi Pan · Li Niu · Liqing Zhang -
2021 Poster: Weak-shot Fine-grained Classification via Similarity Transfer »
Junjie Chen · Li Niu · Liu Liu · Liqing Zhang -
2011 Poster: A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions »
Qibin Zhao · Cesar F Caiafa · Danilo Mandic · Liqing Zhang · Tonio Ball · Andreas Schulze-bonhage · Andrzej S CICHOCKI -
2011 Demonstration: Contour-Based Large Scale Image Retrieval Platform »
Rong Zhou · Liqing Zhang -
2011 Spotlight: A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions »
Qibin Zhao · Cesar F Caiafa · Danilo Mandic · Liqing Zhang · Tonio Ball · Andreas Schulze-bonhage · Andrzej S CICHOCKI -
2008 Poster: Dynamic Visual Attention: Searching for coding length increments »
Xiaodi Hou · Liqing Zhang -
2008 Spotlight: Dynamic Visual Attention: Searching for coding length increments »
Xiaodi Hou · Liqing Zhang