research
∙
04/12/2023
Open-TransMind: A New Baseline and Benchmark for 1st Foundation Model Challenge of Intelligent Transportation
With the continuous improvement of computing power and deep learning alg...
share
research
∙
03/17/2023
A Unified Continual Learning Framework with General Parameter-Efficient Tuning
The "pre-training → downstream adaptation" presents both new opportuniti...
research
∙
07/21/2022
UFO: Unified Feature Optimization
This paper proposes a novel Unified Feature Optimization (UFO) paradigm ...
research
∙
08/19/2021
An Information Theory-inspired Strategy for Automatic Network Pruning
Despite superior performance on many computer vision tasks, deep convolu...
research
∙
05/24/2021
Dynamic Class Queue for Large Scale Face Recognition In the Wild
Learning discriminative representation using large-scale face datasets i...
research
∙
10/22/2020
AutoPruning for Deep Neural Network with Dynamic Channel Masking
Modern deep neural network models are large and computationally intensiv...
research
∙
09/25/2020
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results
This paper introduces the real image Super-Resolution (SR) challenge tha...
research
∙
09/02/2020
Real Image Super Resolution Via Heterogeneous Model using GP-NAS
With advancement in deep neural network (DNN), recent state-of-the-art (...
research
∙
05/08/2020
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
This paper reviews the NTIRE 2020 challenge on real image denoising with...
research
∙
05/09/2019
