WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models

14 July 2024

Papers citing "WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation Models"

8 / 8 papers shown

Title
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery Shijie Ma Fei Zhu Xu-Yao Zhang Cheng-Lin Liu 19 1 0 02 Apr 2025
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching Yang Liu Muzhi Zhu Hengtao Li Hao Chen Xinlong Wang Chunhua Shen VLM MLLM 77 82 0 22 May 2023
An Alternative to WSSS? An Empirical Study of the Segment Anything Model (SAM) on Weakly-Supervised Semantic Segmentation Problems Weixuan Sun Zheyuan Liu Yanhao Zhang Yiran Zhong Nick Barnes VLM 66 20 0 02 May 2023
SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation Ruihuang Li Chenhang He Yabin Zhang Shuai Li Liyi Chen Lei Zhang ISeg 28 15 0 14 Mar 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 255 7,337 0 11 Nov 2021
Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast Ye Du Zehua Fu Qingjie Liu Yunhong Wang 66 128 0 14 Oct 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision Chao Jia Yinfei Yang Ye Xia Yi-Ting Chen Zarana Parekh Hieu H. Pham Quoc V. Le Yun-hsuan Sung Zhen Li Tom Duerig VLM CLIP 293 2,875 0 11 Feb 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 211 739 0 28 Mar 2018