[CVPR2026] RS-SSM: Refining Forgotten Specifics in State Space Model for Video Semantic Segmentation
This code is based on Python 3.10.16, pytorch 2.2.0, pytorch-cuda 11.8, and torchvision 0.17.0. conda create -n rs-ssm python=3.10.16 conda activate rs-ssm pip install \ torch==2.2.0 \ ...
Abstract: Semantic segmentation is one of the fundamental tasks of pixel-level remote sensing image analysis. Currently, most high-performance semantic segmentation methods are trained in a supervised ...
FCIS is a fully convolutional end-to-end solution for instance segmentation, which won the first place in COCO segmentation challenge 2016. FCIS is initially described in a CVPR 2017 spotlight paper.
1 Oceanography Department, Geoscience Institute of the Federal University of Bahia (UFBA), Salvador, Brazil. 2 Earth and Environmental Physics Department, Physics Institute of the Federal University ...
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