accepted by IEEE T-PAMI

app.py

@@ -12,17 +12,22 @@ from src.assets.awesome_mapping import paper_mapping, section_mapping, bibtex_ma
 
 TITLE = "🔥CNN Structured Pruning Leaderboard"
 PAPER_LINK = 'https://arxiv.org/abs/2303.00566'
+PAPER_LINK_IEEE = 'https://ieeexplore.ieee.org/document/10330640'
 AWESOME_PRUNING_LINK = 'https://github.com/he-y/Awesome-Pruning'
 BIBTEX = '''
 @article{he2023structured,
-  title={Structured Pruning for Deep Convolutional Neural Networks: A survey},
   author={He, Yang and Xiao, Lingao},
-  journal={arXiv preprint arXiv:2303.00566},
-  year={2023}
-}
+  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, 
+  title={Structured Pruning for Deep Convolutional Neural Networks: A Survey}, 
+  year={2023},
+  volume={},
+  number={},
+  pages={1-20},
+  doi={10.1109/TPAMI.2023.3334614}}
 '''
 INTRO = f"""
 Welcome to our dedicated site for the survey paper: "[Structured Pruning for Deep Convolutional Neural Networks: A Survey]({PAPER_LINK})". 
+Our survey is accepted by IEEE T-PAMI. Links include [arXiv]({PAPER_LINK}) and [IEEE Xplore]({PAPER_LINK_IEEE}).
 
 Github Repo: [Awesome Pruning: A curated list of neural network pruning resources]({AWESOME_PRUNING_LINK}).