Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype
Enhancement

Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement

25 December 2023

Yisi Zhang

Tianxiang Zhang

Papers citing "Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement"

6 / 6 papers shown

Title
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition Shoufa Chen Chongjian Ge Zhan Tong Jiangliu Wang Yibing Song Jue Wang Ping Luo 141 635 0 26 May 2022
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot Learners Yaqing Wang Subhabrata Mukherjee Xiaodong Liu Jing Gao Ahmed Hassan Awadallah Jianfeng Gao VLM BDL 40 10 0 12 Oct 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 164 172 0 06 Aug 2021
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 144 190 0 24 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 629 0 17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017