Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition

10 September 2020

Siteng Huang

Min Zhang

Yachen Kang

Donglin Wang

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Papers citing "Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition"

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Title
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 78 1 0 16 Nov 2022
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 389 42,299 0 03 Dec 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 69 339 0 12 Nov 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 254 638 0 17 Oct 2019
Baby steps towards few-shot learning with multiple semantics Eli Schwartz Leonid Karlinsky Rogerio Feris Raja Giryes A. Bronstein VLM 93 106 0 05 Jun 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 109 1,761 0 08 Apr 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 66 196 0 27 Mar 2019
Adaptive Cross-Modal Few-Shot Learning Chen Xing Negar Rostamzadeh Boris N. Oreshkin Pedro H. O. Pinheiro 132 272 0 19 Feb 2019
Learning Compositional Representations for Few-Shot Recognition P. Tokmakov Yu-Xiong Wang M. Hebert OCL 53 125 0 21 Dec 2018
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 122 663 0 10 Dec 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 208 16,450 0 17 Jul 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 239 354 0 12 Jun 2018
TADAM: Task dependent adaptive metric for improved few-shot learning Boris N. Oreshkin Pau Rodríguez López Alexandre Lacoste 93 1,312 0 23 May 2018
Self-Attention Generative Adversarial Networks Han Zhang Ian Goodfellow Dimitris N. Metaxas Augustus Odena GAN 131 3,720 0 21 May 2018
Multi-level Semantic Feature Augmentation for One-shot Learning Z. Chen Yanwei Fu Yinda Zhang Yu-Gang Jiang Xiangyang Xue Leonid Sigal 54 235 0 15 Apr 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 221 2,229 0 08 Mar 2018
Few-Shot Learning with Metric-Agnostic Conditional Embeddings Nathan Hilliard Lawrence Phillips Scott Howland A. Yankov Court D. Corley Nathan Oken Hodas SSL 69 159 0 12 Feb 2018
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 273 8,888 0 21 Nov 2017
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 269 4,042 0 16 Nov 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 395 26,365 0 05 Sep 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly Yongqin Xian Christoph H. Lampert Bernt Schiele Zeynep Akata VLM 139 1,565 0 03 Jul 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 644 130,942 0 12 Jun 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 281 8,114 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 806 11,866 0 09 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 264 19,929 0 07 Oct 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 347 7,316 0 13 Jun 2016
Learning Deep Representations of Fine-grained Visual Descriptions Scott E. Reed Zeynep Akata Bernt Schiele Honglak Lee OCL VLM 199 842 0 17 May 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 320 19,609 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 432 43,234 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.6K 149,842 0 22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 515 27,263 0 01 Sep 2014
Network In Network Min Lin Qiang Chen Shuicheng Yan 283 6,274 0 16 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 541 15,861 0 12 Nov 2013