research
∙
03/14/2023
Revisit Parameter-Efficient Transfer Learning: A Two-Stage Paradigm
Parameter-Efficient Transfer Learning (PETL) aims at efficiently adaptin...
share
research
∙
05/14/2022
Evaluating the Generalization Ability of Super-Resolution Networks
Performance and generalization ability are two important aspects to eval...
research
∙
10/09/2021
Temporally Consistent Video Colorization with Deep Feature Propagation and Self-regularization Learning
Video colorization is a challenging and highly ill-posed problem. Althou...
research
∙
04/13/2021
Very Lightweight Photo Retouching Network with Conditional Sequential Modulation
Photo retouching aims at improving the aesthetic visual quality of image...
research
∙
03/06/2021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic
We aim at accelerating super-resolution (SR) networks on large images (2...
research
∙
10/02/2020
Efficient Image Super-Resolution Using Pixel Attention
This work aims at designing a lightweight convolutional neural network f...
research
∙
09/15/2020
