v1v2 (latest)

tSF: Transformer-based Semantic Filter for Few-Shot Learning

2 November 2022

Jun Liu

Chengjie Wang

Papers citing "tSF: Transformer-based Semantic Filter for Few-Shot Learning"

44 / 44 papers shown

Title
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 104 202 0 20 Aug 2021
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers Enze Xie Wenhai Wang Zhiding Yu Anima Anandkumar J. Álvarez Ping Luo ViT 316 5,065 0 31 May 2021
Generalized Few-Shot Object Detection without Forgetting Zhibo Fan Yuchen Ma Zeming Li Jian Sun VLM ObjD 109 170 0 20 May 2021
Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang 66 119 0 16 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 86 296 0 04 Apr 2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection Hanzhe Hu Shuai Bai Aoxue Li J. Cui Liwei Wang ObjD 57 155 0 30 Mar 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning C. Xu Chen Liu Li Zhang Chengjie Wang Jilin Li Feiyue Huang Xiangyang Xue Yanwei Fu 81 105 0 25 Mar 2021
FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding Bo Sun Banghuai Li Shengcai Cai Ye Yuan Chi Zhang 113 376 0 10 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 118 112 0 01 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 535 3,734 0 24 Feb 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 64 160 0 08 Feb 2021
Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers Sixiao Zheng Jiachen Lu Hengshuang Zhao Xiatian Zhu Zekun Luo ... Yanwei Fu Jianfeng Feng Tao Xiang Philip Torr Li Zhang ViT 194 2,911 0 31 Dec 2020
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 238 190 0 11 Dec 2020
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 246 5,098 0 08 Oct 2020
Feature Pyramid Transformer Dong Zhang Hanwang Zhang Jinhui Tang Meng Wang Xiansheng Hua Qianru Sun ViT 58 257 0 18 Jul 2020
Multi-Scale Positive Sample Refinement for Few-Shot Object Detection Jiaxi Wu Songtao Liu Di Huang Yunhong Wang ObjD 128 285 0 18 Jul 2020
End-to-End Object Detection with Transformers Nicolas Carion Francisco Massa Gabriel Synnaeve Nicolas Usunier Alexander Kirillov Sergey Zagoruyko ViT 3DV PINN 434 13,108 0 26 May 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 228 195 0 24 Mar 2020
Context-Transformer: Tackling Object Confusion for Few-Shot Detection Ze Yang Yali Wang Xianyu Chen Jianzhuang Liu Yu Qiao ViT 108 84 0 16 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez Feng Yu ObjD 221 555 0 16 Mar 2020
Associative Alignment for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 51 151 0 11 Dec 2019
PolyTransform: Deep Polygon Transformer for Instance Segmentation Justin Liang N. Homayounfar Wei-Chiu Ma Yuwen Xiong Rui Hu R. Urtasun ViT ISeg 85 176 0 05 Dec 2019
SuperGlue: Learning Feature Matching with Graph Neural Networks Paul-Edouard Sarlin Daniel DeTone Tomasz Malisiewicz Andrew Rabinovich 3DPC OffRL 127 1,949 0 26 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 71 341 0 12 Nov 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 265 640 0 17 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 77 170 0 08 Oct 2019
Feature Weighting and Boosting for Few-Shot Segmentation Khoi Duc Minh Nguyen S. Todorovic 110 331 0 28 Sep 2019
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment Kaixin Wang Jun Hao Liew Yingtian Zou Daquan Zhou Jiashi Feng VLM 67 1,070 0 18 Aug 2019
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning Spyros Gidaris N. Komodakis 75 231 0 03 May 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 68 544 0 06 Mar 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 138 666 0 10 Dec 2018
Few-shot Object Detection via Feature Reweighting Bingyi Kang Zhuang Liu Xin Wang Feng Yu Jiashi Feng Trevor Darrell ObjD OffRL 96 699 0 05 Dec 2018
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation Xiaolin Zhang Yunchao Wei Yi Yang Thomas Huang VLM 71 465 0 22 Oct 2018
Meta-Learning with Latent Embedding Optimization Andrei A. Rusu Dushyant Rao Jakub Sygnowski Oriol Vinyals Razvan Pascanu Simon Osindero R. Hadsell 148 1,372 0 16 Jul 2018
Memory Matching Networks for One-Shot Image Recognition Qi Cai Yingwei Pan Ting Yao C. Yan Tao Mei VLM 66 264 0 23 Apr 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 237 2,237 0 08 Mar 2018
Meta-Learning for Semi-Supervised Few-Shot Classification Mengye Ren Eleni Triantafillou S. S. Ravi Jake C. Snell Kevin Swersky J. Tenenbaum Hugo Larochelle R. Zemel SSL 74 1,284 0 02 Mar 2018
Learning to Compare: Relation Network for Few-Shot Learning Flood Sung Yongxin Yang Li Zhang Tao Xiang Philip Torr Timothy M. Hospedales 308 4,049 0 16 Nov 2017
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Ziqiang Liu Irfan Essa Byron Boots SSeg VLM 118 704 0 11 Sep 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 98 3,645 0 16 Aug 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 829 11,943 0 09 Mar 2017
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 72 471 0 16 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 124 2,008 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 378 7,333 0 13 Jun 2016