Cost Aggregation Is All You Need for Few-Shot Segmentation

22 December 2021

Papers citing "Cost Aggregation Is All You Need for Few-Shot Segmentation"

50 / 63 papers shown

Title
SOFT: Softmax-free Transformer with Linear Complexity Jiachen Lu Jinghan Yao Junge Zhang Martin Danelljan Hang Xu Weiguo Gao Chunjing Xu Thomas B. Schon Li Zhang 59 166 0 22 Oct 2021
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence Juhong Min Seungwook Kim Minsu Cho 54 16 0 11 Sep 2021
Fastformer: Additive Attention Can Be All You Need Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang Xing Xie 76 119 0 20 Aug 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 112 953 0 19 Aug 2021
Few-shot Segmentation with Optimal Transport Matching and Message Flow Weide Liu Chi Zhang Henghui Ding Tzu-Yi Hung Guosheng Lin 61 51 0 19 Aug 2021
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 198 179 0 06 Aug 2021
Learning Meta-class Memory for Few-Shot Semantic Segmentation Zhonghua Wu Xiangxi Shi Guosheng lin Jianfei Cai VLM 114 109 0 06 Aug 2021
Boosting Few-shot Semantic Segmentation with Transformers Guolei Sun Yun-Hai Liu Christos Sakaridis Luc Van Gool ViT 48 9 0 04 Aug 2021
Multi-scale Matching Networks for Semantic Correspondence Dongyang Zhao Ziyang Song Zhenghao Ji Gangming Zhao Weifeng Ge Yizhou Yu 54 49 0 31 Jul 2021
Early Convolutions Help Transformers See Better Tete Xiao Mannat Singh Eric Mintun Trevor Darrell Piotr Dollár Ross B. Girshick 45 765 0 28 Jun 2021
Deep Matching Prior: Test-Time Optimization for Dense Correspondence Sunghwan Hong Seungryong Kim 68 27 0 06 Jun 2021
CATs: Cost Aggregation Transformers for Visual Correspondence Seokju Cho Sunghwan Hong Sangryul Jeon Yunsung Lee Kwanghoon Sohn Seungryong Kim ViT 69 88 0 04 Jun 2021
Few-Shot Segmentation via Cycle-Consistent Transformer Gengwei Zhang Guoliang Kang Yi Yang Yunchao Wei ViT 53 184 0 04 Jun 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation Gen Li Varun Jampani Laura Sevilla-Lara Deqing Sun Jonghyun Kim Joongkyu Kim 83 364 0 05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 76 295 0 04 Apr 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation Bingfeng Zhang Jimin Xiao Terry Qin 53 165 0 30 Mar 2021
Mining Latent Classes for Few-shot Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 65 126 0 29 Mar 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 421 21,347 0 25 Mar 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions Wenhai Wang Enze Xie Xiang Li Deng-Ping Fan Kaitao Song Ding Liang Tong Lu Ping Luo Ling Shao ViT 503 3,709 0 24 Feb 2021
Learning Accurate Dense Correspondences and When to Trust Them Prune Truong Martin Danelljan Luc Van Gool Radu Timofte 3DH 3DPC 109 131 0 05 Jan 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 225 190 0 11 Dec 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai ... Matthias Minderer G. Heigold Sylvain Gelly Jakob Uszkoreit N. Houlsby ViT 555 40,961 0 22 Oct 2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation Zhuotao Tian Hengshuang Zhao Michelle Shu Zhicheng Yang Ruiyu Li Jiaya Jia 50 518 0 04 Aug 2020
Learning to Compose Hypercolumns for Visual Correspondence Juhong Min Jongmin Lee Jean Ponce Minsu Cho OCL 60 77 0 21 Jul 2020
Part-aware Prototype Network for Few-shot Semantic Segmentation Yongfei Liu Xiangyi Zhang Songyang Zhang Xuming He 41 321 0 13 Jul 2020
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention Angelos Katharopoulos Apoorv Vyas Nikolaos Pappas Franccois Fleuret 174 1,755 0 29 Jun 2020
Linformer: Self-Attention with Linear Complexity Sinong Wang Belinda Z. Li Madian Khabsa Han Fang Hao Ma 191 1,700 0 08 Jun 2020
Hierarchical Multi-Scale Attention for Semantic Segmentation Andrew Tao Karan Sapra Bryan Catanzaro SSeg 62 452 0 21 May 2020
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions Ignacio Rocco Relja Arandjelović Josef Sivic 55 173 0 22 Apr 2020
Correspondence Networks with Adaptive Neighbourhood Consensus Shuda Li Kai Han Theo W. Costain Henry Howard-Jenkins V. Prisacariu 3DV 43 85 0 26 Mar 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 205 194 0 24 Mar 2020
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences Prune Truong Martin Danelljan Radu Timofte 3DPC 47 186 0 11 Dec 2019
Feature Weighting and Boosting for Few-Shot Segmentation Khoi Duc Minh Nguyen S. Todorovic 105 331 0 28 Sep 2019
Dynamic Context Correspondence Network for Semantic Alignment Shuaiyi Huang Qiuyue Wang Songyang Zhang Shipeng Yan Xuming He 54 91 0 08 Sep 2019
SPair-71k: A Large-scale Benchmark for Semantic Correspondence Juhong Min Jongmin Lee Jean Ponce Minsu Cho 61 131 0 28 Aug 2019
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features Juhong Min Jongmin Lee Jean Ponce Minsu Cho 74 108 0 18 Aug 2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment Kaixin Wang Jun Hao Liew Yingtian Zou Daquan Zhou Jiashi Feng VLM 47 1,068 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 74 248 0 29 Jul 2019
Local Relation Networks for Image Recognition Han Hu Zheng Zhang Zhenda Xie Stephen Lin FAtt 67 501 0 25 Apr 2019
SFNet: Learning Object-aware Semantic Correspondence Junghyup Lee Dohyung Kim Jean Ponce Bumsub Ham 3DPC 65 140 0 03 Apr 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 61 544 0 06 Mar 2019
Neighbourhood Consensus Networks Ignacio Rocco Mircea Cimpoi Relja Arandjelović Akihiko Torii Tomas Pajdla Josef Sivic 78 389 0 24 Oct 2018
Albumentations: fast and flexible image augmentations A. Buslaev Alex Parinov Eugene Khvedchenya V. Iglovikov Alexandr A Kalinin 136 1,973 0 18 Sep 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam SSeg 405 13,103 0 07 Feb 2018
End-to-end weakly-supervised semantic alignment Ignacio Rocco Relja Arandjelović Josef Sivic 63 179 0 19 Dec 2017
Relation Networks for Object Detection Han Hu Jiayuan Gu Zheng Zhang Jifeng Dai Yichen Wei ObjD 102 1,222 0 30 Nov 2017
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Ziqiang Liu Irfan Essa Byron Boots SSeg VLM 85 704 0 11 Sep 2017
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume Deqing Sun Xiaodong Yang Ming-Yuan Liu Jan Kautz 3DPC 249 2,443 0 07 Sep 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 658 131,414 0 12 Jun 2017
Proposal Flow: Semantic Correspondences from Object Proposals Bumsub Ham Minsu Cho Cordelia Schmid Jean Ponce 112 135 0 21 Mar 2017