Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation

28 February 2023

Papers citing "Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation"

6 / 6 papers shown

Title
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 305 7,434 0 11 Nov 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 330 2,267 0 02 Sep 2021
RECALL: Replay-based Continual Learning in Semantic Segmentation Andrea Maracani Umberto Michieli Marco Toldo Pietro Zanuttigh VLM CLL 47 114 0 08 Aug 2021
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 317 5,775 0 29 Apr 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 298 3,700 0 11 Feb 2021
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 232 740 0 28 Mar 2018