Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention

10 April 2022

Papers citing "Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention"

8 / 8 papers shown

Title
PICNN: A Pathway towards Interpretable Convolutional Neural Networks Wengang Guo Jiayi Yang Huilin Yin Qijun Chen Wei Ye 57 3 0 19 Dec 2023
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks Parth Padalkar Gopal Gupta 53 3 0 19 Oct 2023
Fairness in Visual Clustering: A Novel Transformer Clustering Approach Xuan-Bac Nguyen C. Duong Marios Savvides Kaushik Roy Hugh Churchill Khoa Luu 102 9 0 14 Apr 2023
Mitigating Spurious Correlations in Multi-modal Models during Fine-tuning Yu Yang Besmira Nushi Hamid Palangi Baharan Mirzasoleiman 93 39 0 08 Apr 2023
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning Peng Jin Jinfa Huang Pengfei Xiong Shangxuan Tian Chang-rui Liu Xiang Ji Li-ming Yuan Jie Chen 98 59 0 25 Mar 2023
SUNY: A Visual Interpretation Framework for Convolutional Neural Networks from a Necessary and Sufficient Perspective Xiwei Xuan Ziquan Deng Hsuan-Tien Lin Z. Kong Kwan-Liu Ma AAML FAtt 59 3 0 01 Mar 2023
Partial Visual-Semantic Embedding: Fashion Intelligence System with Sensitive Part-by-Part Learning Ryotaro Shimizu Takuma Nakamura M. Goto 3DH 64 0 0 12 Nov 2022
FairGRAPE: Fairness-aware GRAdient Pruning mEthod for Face Attribute Classification Xiao-Ze Lin Seungbae Kim Jungseock Joo CVBM 94 41 0 22 Jul 2022