ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation

20 February 2023

Papers citing "ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation"

9 / 9 papers shown

Title
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation Jiachen Li Qing Xie Xiaohan Yu Hongyun Wang Jinyu Xu Yongjian Liu ObjD 69 0 0 20 Apr 2025
TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation Moon Ye-Bin Jisoo Kim Hong-Kyu Kim Kilho Son Tae-Hyun Oh 13 8 0 27 Jul 2023
iFS-RCNN: An Incremental Few-shot Instance Segmenter Khoi Duc Minh Nguyen S. Todorovic ISeg CLL 40 23 0 31 May 2022
A Survey of Deep Learning for Low-Shot Object Detection Qihan Huang Haofei Zhang Mengqi Xue Jie Song Mingli Song ObjD 33 18 0 06 Dec 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 164 171 0 06 Aug 2021
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez F. I. F. Richard Yu ObjD 75 535 0 16 Mar 2020
Conditional Convolutions for Instance Segmentation Zhi Tian Chunhua Shen Hao Chen ISeg 167 596 0 12 Mar 2020
Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning Xiaopeng Yan Ziliang Chen Anni Xu Xiaoxi Wang Xiaodan Liang Liang Lin ObjD 151 440 0 28 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 240 11,568 0 09 Mar 2017