Activating the Discriminability of Novel Classes for Few-shot Segmentation

2 December 2022

Papers citing "Activating the Discriminability of Novel Classes for Few-shot Segmentation"

44 / 44 papers shown

Title
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations Wenjie Pei Shuang Wu Dianwen Mei Fanglin Chen Jiandong Tian Guangming Lu VLM 49 11 0 25 Jul 2022
Self-Support Few-Shot Semantic Segmentation Qi Fan Wenjie Pei Yu-Wing Tai Chi-Keung Tang 94 146 0 23 Jul 2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection Shuang Wu Wenjie Pei Dianwen Mei Fanglin Chen Jiandong Tian Guangming Lu VLM ObjD 68 31 0 22 Jul 2022
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer Zhihe Lu Sen He Xiatian Zhu Li Zhang Yi-Zhe Song Tao Xiang ViT 213 179 0 06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation Zhonghua Wu Xiangxi Shi Guosheng lin Jianfei Cai VLM 141 109 0 06 Aug 2021
Mining Latent Classes for Few-shot Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 67 126 0 29 Mar 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf H. Kervadec Imtiaz Masud Ziko Pablo Piantanida Ismail Ben Ayed Jose Dolz VLM 247 190 0 11 Dec 2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation Zhuotao Tian Hengshuang Zhao Michelle Shu Zhicheng Yang Ruiyu Li Jiaya Jia 89 519 0 04 Aug 2020
Part-aware Prototype Network for Few-shot Semantic Segmentation Yongfei Liu Xiangyi Zhang Songyang Zhang Xuming He 49 323 0 13 Jul 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 243 195 0 24 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 239 347 0 09 Mar 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 402 18,913 0 13 Feb 2020
A Two-Stage Approach to Few-Shot Learning for Image Recognition Debasmit Das C. S. George Lee 105 126 0 10 Dec 2019
Differentiable Meta-learning Model for Few-shot Semantic Segmentation Pinzhuo Tian Zhangkai Wu Lei Qi Lei Wang Yinghuan Shi Yang Gao VLM 70 82 0 23 Nov 2019
Adaptive Context Network for Scene Parsing J. Fu Jing Liu Yuhang Wang Yong Li Yongjun Bao Jinhui Tang Hanqing Lu SSeg 108 141 0 05 Nov 2019
Feature Weighting and Boosting for Few-Shot Segmentation Khoi Duc Minh Nguyen S. Todorovic 116 331 0 28 Sep 2019
Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation Yuhui Yuan Xiaokang Chen Xilin Chen Jingdong Wang ViT 241 1,422 0 24 Sep 2019
A Baseline for Few-Shot Image Classification Guneet Singh Dhillon Pratik Chaudhari Avinash Ravichandran Stefano Soatto 113 583 0 06 Sep 2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment Kaixin Wang Jun Hao Liew Yingtian Zou Daquan Zhou Jiashi Feng VLM 75 1,072 0 18 Aug 2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation Xiang Li Tianhan Wei Yau Pun Chen Yu-Wing Tai Chi-Keung Tang VLM 87 248 0 29 Jul 2019
CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning Chi Zhang Guosheng Lin Fayao Liu Rui Yao Chunhua Shen VLM SSeg 70 544 0 06 Mar 2019
Infinite Mixture Prototypes for Few-Shot Learning Kelsey R. Allen Evan Shelhamer Hanul Shin J. Tenenbaum 62 248 0 12 Feb 2019
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation Xiaolin Zhang Yunchao Wei Yi Yang Thomas Huang VLM 71 466 0 22 Oct 2018
Dual Attention Network for Scene Segmentation J. Fu Qingbin Liu Haijie Tian Yong Li Yongjun Bao Zhiwei Fang Hanqing Lu SSeg 327 5,120 0 09 Sep 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 150 1,374 0 16 Jul 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 102 931 0 21 May 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 493 13,215 0 07 Feb 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 318 4,054 0 16 Nov 2017
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Ziqiang Liu Irfan Essa Byron Boots SSeg VLM 131 704 0 11 Sep 2017
Rethinking Atrous Convolution for Semantic Image Segmentation Liang-Chieh Chen George Papandreou Florian Schroff Hartwig Adam SSeg 234 8,494 0 17 Jun 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 232 5,345 0 17 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 307 8,164 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 843 11,961 0 09 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 494 22,188 0 09 Dec 2016
Pyramid Scene Parsing Network Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia VOS SSeg 665 12,046 0 04 Dec 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 380 7,343 0 13 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 278 18,298 0 02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 760 37,927 0 20 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding Alex Kendall Vijay Badrinarayanan R. Cipolla UQCV BDL 98 1,066 0 09 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.9K 77,520 0 18 May 2015
Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh Seunghoon Hong Bohyung Han SSeg 244 4,180 0 17 May 2015
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Patrick Murphy Alan Yuille SSeg 218 4,898 0 22 Dec 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 444 43,875 0 01 May 2014