CAM-loss: Towards Learning Spatially Discriminative Feature Representations

3 September 2021

Gao Huang

Papers citing "CAM-loss: Towards Learning Spatially Discriminative Feature Representations"

40 / 40 papers shown

Title
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 74 230 0 28 Sep 2020
Regularizing Deep Networks with Semantic Data Augmentation Yulin Wang Gao Huang Shiji Song Xuran Pan Yitong Xia Cheng Wu 78 157 0 21 Jul 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 254 638 0 17 Oct 2019
Combinational Class Activation Maps for Weakly Supervised Object Localization Seunghan Yang Yoonhyung Kim Youngeun Kim Changick Kim WSOL 86 78 0 12 Oct 2019
Implicit Semantic Data Augmentation for Deep Networks Yulin Wang Xuran Pan Shiji Song Hong Zhang Cheng Wu Gao Huang 56 200 0 26 Sep 2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Y. Yoo OOD 604 4,766 0 13 May 2019
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations Jiwoon Ahn Sunghyun Cho Suha Kwak ISeg SSeg 142 542 0 10 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 107 1,761 0 08 Apr 2019
Correlation Congruence for Knowledge Distillation Baoyun Peng Xiao Jin Jiaheng Liu Shunfeng Zhou Yichao Wu Yu Liu Dongsheng Li Zhaoning Zhang 86 510 0 03 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 84 490 0 28 Mar 2019
Min-Entropy Latent Model for Weakly Supervised Object Detection Fang Wan Pengxu Wei Zhenjun Han Jianbin Jiao QiXiang Ye WSOD 56 217 0 16 Feb 2019
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation Hiroshi Fukui Tsubasa Hirakawa Takayoshi Yamashita H. Fujiyoshi XAI FAtt 64 403 0 25 Dec 2018
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 105 914 0 30 Oct 2018
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection Yunchao Wei Zhiqiang Shen Bowen Cheng Humphrey Shi Jinjun Xiong Jiashi Feng Thomas Huang WSOD 48 153 0 13 Jul 2018
Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition Ming Sun Yuchen Yuan Feng Zhou Errui Ding 132 352 0 14 Jun 2018
Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Yunchao Wei Huaxin Xiao Humphrey Shi Zequn Jie Jiashi Feng Thomas S. Huang SSeg 80 544 0 11 May 2018
Zigzag Learning for Weakly Supervised Object Detection Xiaopeng Zhang Jiashi Feng H. Xiong Qi Tian WSOD 56 113 0 25 Apr 2018
Tell Me Where to Look: Guided Attention Inference Network Kunpeng Li Ziyan Wu Kuan-Chuan Peng Jan Ernst Y. Fu 106 531 0 27 Feb 2018
ShakeDrop Regularization for Deep Residual Learning Yoshihiro Yamada Masakazu Iwamura Takuya Akiba K. Kise 81 164 0 07 Feb 2018
Additive Margin Softmax for Face Verification Feng Wang Weiyang Liu Haijun Liu Jian Cheng CVBM 91 1,273 0 17 Jan 2018
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks Aditya Chattopadhyay Anirban Sarkar Prantik Howlader V. Balasubramanian FAtt 101 2,289 0 30 Oct 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 271 9,743 0 25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 107 3,758 0 15 Aug 2017
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko N. Komodakis 113 2,569 0 12 Dec 2016
Large-Margin Softmax Loss for Convolutional Neural Networks Weiyang Liu Yandong Wen Zhiding Yu Meng Yang CVBM 78 1,455 0 07 Dec 2016
Grad-CAM: Why did you say that? Ramprasaath R. Selvaraju Abhishek Das Ramakrishna Vedantam Michael Cogswell Devi Parikh Dhruv Batra FAtt 61 470 0 22 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 483 10,305 0 16 Nov 2016
Deep Pyramidal Residual Networks Dongyoon Han Jiwhan Kim Junmo Kim 93 692 0 10 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 717 36,708 0 25 Aug 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 339 7,316 0 13 Jun 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 314 7,971 0 23 May 2016
Deep Networks with Stochastic Depth Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger 193 2,352 0 30 Mar 2016
Learning Deep Features for Discriminative Localization Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba SSL SSeg FAtt 229 9,298 0 14 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.9K 193,426 0 10 Dec 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 336 13,123 0 12 Mar 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 312 19,609 0 09 Mar 2015
FitNets: Hints for Thin Deep Nets Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang C. Gatta Yoshua Bengio FedML 278 3,870 0 19 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.4K 100,213 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.5K 39,472 0 01 Sep 2014
Some Improvements on Deep Convolutional Neural Network Based Image Classification Andrew G. Howard VLM 130 433 0 19 Dec 2013