Reversible Networks

Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning featured image
Deep Learning

Dr<sup>2</sup>Net: 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 by end-to-end finetuning, which is highly …

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Chen Zhao
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Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action Localization featured image
Deep Learning

Re<sup>2</sup>TAL: 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 limited GPU memory, training TAL end to end …

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Chen Zhao
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Large-capacity and Flexible Video Steganography via Invertible Neural Network featured image
Deep Learning

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 decoding protocol at the receiver end. …

Chong mou
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