[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 \ ...
We are currently looking for a student for a 6-month internship to develop and prototype a new machine learning and computer vision system that will be used to debug and categorize IC field failures .
Training and evaluation environment: Python3.8.8, PyTorch 1.11.0, Ubuntu 20.4, CUDA 11.0. Run the following command to install required packages. pip3 install -r ...
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