BriNet: Towards Bridging the Intra-class and Inter-class Gaps in
One-Shot Segmentation

BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation

14 August 2020

Wanli Ouyang

Papers citing "BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation"

8 / 8 papers shown

Title
DARNet: Bridging Domain Gaps in Cross-Domain Few-Shot Segmentation with Dynamic Adaptation Haoran Fan Qi Fan M. Pagnucco Yang Song 16 3 0 08 Dec 2023
CobNet: Cross Attention on Object and Background for Few-Shot Segmentation Haoyan Guan Michael W. Spratling 27 0 0 21 Oct 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 26 59 0 29 Mar 2022
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Miao Zhang Miaojing Shi Li Li VLM 38 20 0 30 Oct 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation Gen Li Varun Jampani Laura Sevilla-Lara Deqing Sun Jonghyun Kim Joongkyu Kim 26 353 0 05 Apr 2021
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 186 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,684 0 09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 446 15,639 0 02 Nov 2015