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Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot
  Segmentation

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

22 July 2022
Sunghwan Hong
Seokju Cho
Jisu Nam
Stephen Lin
Seung Wook Kim
    ViT
ArXivPDFHTML

Papers citing "Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation"

21 / 21 papers shown
Title
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided Prototyping
Amirreza Fateh
Mohammad Reza Mohammadi
Mohammad Reza Jahed Motlagh
ViT
66
5
0
31 Dec 2024
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
Zhaochong An
Guolei Sun
Yun Liu
Runjia Li
Min Wu
Ming-Ming Cheng
Ender Konukoglu
Serge J. Belongie
64
4
0
29 Oct 2024
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
Yazhou Zhu
Minxian Li
Qiaolin Ye
Shidong Wang
Tong Xin
Haofeng Zhang
30
0
0
01 Oct 2024
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
iConFormer: Dynamic Parameter-Efficient Tuning with Input-Conditioned Adaptation
Hayeon Jo
Hyesong Choi
Minhee Cho
Dongbo Min
29
1
0
04 Sep 2024
PerSense: Personalized Instance Segmentation in Dense Images
PerSense: Personalized Instance Segmentation in Dense Images
Muhammad Ibraheem Siddiqui
Muhammad Umer Sheikh
Hassan Abid
Muhammad Haris Khan
VLM
47
0
0
22 May 2024
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in
  the Wild
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild
Donggyun Kim
Seongwoong Cho
Semin Kim
Chong Luo
Seunghoon Hong
VLM
24
2
0
29 Apr 2024
Explore In-Context Segmentation via Latent Diffusion Models
Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang
Xiangtai Li
Henghui Ding
Lu Qi
Jiangning Zhang
Yunhai Tong
Chen Change Loy
Shuicheng Yan
DiffM
63
6
0
14 Mar 2024
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
Focus on Query: Adversarial Mining Transformer for Few-Shot Segmentation
Yuan Wang
Naisong Luo
Tianzhu Zhang
16
11
0
29 Nov 2023
Telling Left from Right: Identifying Geometry-Aware Semantic
  Correspondence
Telling Left from Right: Identifying Geometry-Aware Semantic Correspondence
Junyi Zhang
Charles Herrmann
Junhwa Hur
Eric Chen
Varun Jampani
Deqing Sun
Ming-Hsuan Yang
19
37
0
28 Nov 2023
Dense Affinity Matching for Few-Shot Segmentation
Dense Affinity Matching for Few-Shot Segmentation
Hao Chen
Yonghan Dong
Zhe-Ming Lu
Yunlong Yu
Yingming Li
Jungong Han
Zhongfei Zhang
30
8
0
17 Jul 2023
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
Mennatullah Siam
R. Karim
Henghui Zhao
Richard P. Wildes
VOS
14
2
0
15 Jul 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
27
16
0
03 Jan 2023
MSI: Maximize Support-Set Information for Few-Shot Segmentation
MSI: Maximize Support-Set Information for Few-Shot Segmentation
Seonghyeon Moon
Samuel S. Sohn
Honglu Zhou
Sejong Yoon
Vladimir Pavlovic
Muhammad Haris Khan
Mubbasir Kapadia
16
17
0
09 Dec 2022
Integrative Feature and Cost Aggregation with Transformers for Dense
  Correspondence
Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence
Sunghwan Hong
Seokju Cho
Seung Wook Kim
Stephen Lin
3DV
39
4
0
19 Sep 2022
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
CATs++: Boosting Cost Aggregation with Convolutions and Transformers
Seokju Cho
Sunghwan Hong
Seung Wook Kim
ViT
19
34
0
14 Feb 2022
PFENet++: Boosting Few-shot Semantic Segmentation with the
  Noise-filtered Context-aware Prior Mask
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo
Zhuotao Tian
Taiping Zhang
Bei Yu
Yuan Yan Tang
Jiaya Jia
39
37
0
28 Sep 2021
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight
  Transformer
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
164
171
0
06 Aug 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
239
2,554
0
04 May 2021
Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction
  without Convolutions
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
263
3,538
0
24 Feb 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
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
169
186
0
11 Dec 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation
CRNet: Cross-Reference Networks for Few-Shot Segmentation
Weide Liu
Chi Zhang
Guosheng Lin
Fayao Liu
SSeg
138
190
0
24 Mar 2020
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