Reversible networks

Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
Large pretrained models are increasingly crucial in modern computer vision tasks. These models are typically used in downstream tasks …
Chen Zhao, Shuming Liu, Karttikeya Mangalam, Guocheng Qian, Fatimah Zohra, Abdulmohsen Alghannam, Jitendra Malik, Bernard Ghanem
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Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
Temporal action localization (TAL) requires long-form reasoning to predict actions of various durations and complex content. Given …
Chen Zhao, Shuming Liu, Karttikeya Mangalam, Bernard Ghanem
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Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization
Large-capacity and Flexible Video Steganography via Invertible Neural Network
Video steganography is the art of unobtrusively concealing secret data in a cover video and then recovering the secret data through a …
Chong Mou, Youmin Xu, Jiechong Song, Chen Zhao, Bernard Ghanem, Jian Zhang
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Large-capacity and Flexible Video Steganography via Invertible Neural Network