Deep Gaussian Processes for Few-Shot Segmentation

30 March 2021

Papers citing "Deep Gaussian Processes for Few-Shot Segmentation"

23 / 23 papers shown

Title
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 204 189 0 11 Dec 2020
Generalized Few-shot Semantic Segmentation Zhuotao Tian Xin Lai Li Jiang Shu Liu Michelle Shu Hengshuang Zhao Jiaya Jia VLM 63 81 0 11 Oct 2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation Zhuotao Tian Hengshuang Zhao Michelle Shu Zhicheng Yang Ruiyu Li Jiaya Jia 45 512 0 04 Aug 2020
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes Jake C. Snell R. Zemel 66 63 0 20 Jul 2020
Part-aware Prototype Network for Few-shot Semantic Segmentation Yongfei Liu Xiangyi Zhang Songyang Zhang Xuming He 34 320 0 13 Jul 2020
Learning What to Learn for Video Object Segmentation Goutam Bhat Felix Järemo Lawin Martin Danelljan Andreas Robinson Michael Felsberg Luc Van Gool Radu Timofte VOS 66 157 0 25 Mar 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 205 193 0 24 Mar 2020
On the Texture Bias for Few-Shot CNN Segmentation Reza Azad A. Fayjie C. Kauffmann Ismail Ben Ayed M. Pedersoli Jose Dolz SSeg 59 70 0 09 Mar 2020
A New Local Transformation Module for Few-shot Segmentation Yuwei Yang Fanman Meng Hongliang Li Qingbo Wu Xiaolong Xu Shuai Chen ViT 31 36 0 14 Oct 2019
Feature Weighting and Boosting for Few-Shot Segmentation Khoi Duc Minh Nguyen S. Todorovic 96 331 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 44 1,058 0 18 Aug 2019
Adaptive Deep Kernel Learning Prudencio Tossou Basile Dura François Laviolette M. Marchand Alexandre Lacoste 61 29 0 28 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 58 540 0 06 Mar 2019
Infinite Mixture Prototypes for Few-Shot Learning Kelsey R. Allen Evan Shelhamer Hanul Shin J. Tenenbaum 39 246 0 12 Feb 2019
SG-One: Similarity Guidance Network for One-Shot Semantic Segmentation Xiaolin Zhang Yunchao Wei Yi Yang Thomas Huang VLM 55 463 0 22 Oct 2018
Learning a Discriminative Feature Network for Semantic Segmentation Changqian Yu Jingbo Wang Chao Peng Changxin Gao Gang Yu Nong Sang SSeg 44 760 0 25 Apr 2018
One-Shot Learning for Semantic Segmentation Amirreza Shaban Shray Bansal Ziqiang Liu Irfan Essa Byron Boots SSeg VLM 75 699 0 11 Sep 2017
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 189 882 0 06 Nov 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 854 149,474 0 22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 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 272 43,290 0 01 May 2014
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 144 272 0 24 Feb 2014