Incrementer:Transformer for Class-Incremental Semantic Segmentation with Knowledge Distillation Focusing on Old Class论文阅读笔记 摘要 目前已有的连续语义分割方法通常基于卷积神经网络,需要添加额外的卷积层来分辨新类别,且在蒸馏特征时没有对属于旧类别/新类别的区域加以区分。为此,作者提出了基于Transformer的网络...
分类:论文学习,连续学习 0 0 «上一篇:Function 'UpsampleBilinear2DBackward1' returned nan values »下一篇:GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models posted @2023-12-07 11:13脂环阅读(44) 评论(0)编辑
We consider a class-incremental semantic segmentation (CISS) problem. While\nsome recently proposed algorithms utilized variants of knowledge distillation\n(KD) technique to tackle the problem, they only partially addressed the key\naddi... S Cha,B Kim,Y Yoo,... 被引量: 0发表: 2021年 IL2M...
Class-Incremental Semantic Segmentation (CISS) aims to learn new classes without forgetting the old ones, using only the labels of the new classes. To achieve this, two popular strategies are employed: 1) pseudo-labeling and knowledge distillation to preserve prior knowledge; and 2) background ...
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation Dipam Goswami†§ Rene´ Schuster† Joost van de Weijer‡ Didier Stricker† dipamgoswami01@gmail.com rene.schuster@dfki.de joost@...
the semantic drift of the background class and the multi-label prediction issue. To better address these challenges, we propose a new method, dubbedSSUL-M (Semantic Segmentation with Unknown Label with Memory), by carefully combining techniques tailored for semantic segmentation. Specifically, we cl...
(2021) proposed the first attempt to solve incremental few-shot semantic segmentation. They proposed PIFS, which combines prototype learning with knowledge distillation. In the base stage, PIFS trains the network on base data to develop the capability of feature extraction. In the FSL stage, PIFS...
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation Link to our Paper:https://arxiv.org/abs/2308.02790 Prerequisites and Requirements We tested our code under Ubuntu 20.04 and Windows with - Python 3.11.4 - Cuda 11.8 - PyTorch 2.0.1 ...
We apply federated class-incremental learning to semantic segmentation task. [CVPR-2023] Federated Incremental Semantic Segmentation [Code] Citation: If you find this code is useful to your research, please consider to cite our paper. @InProceedings{dong2022federated, author = {Dong, Jiahua and ...
For semantic integrity score 𝑓2f2, as shown in Formula (4), if the span 𝑠𝑖si is in the segmentation results, it is considered to have complete semantics, scoring 1; otherwise, it scores 0.5. For part-of-speech information 𝑓3f3, as shown inf Formula (5), if the part-of-...