181 citations · 181 across the 2 of their papers we have counts for
5 papers · 1 filter
KernelWarehouse: Towards Parameter-Efficient Dynamic Convolution
Chao Li, Anbang Yao
Dynamic convolution learns a linear mixture of static kernels weighted with their sample-dependent attentions, demonstrating superior performance compared to normal convolution…
NORM: Knowledge Distillation via N-to-One Representation Matching
Xiaolong Liu, Lujun Li, Chao Li +1
Existing feature distillation methods commonly adopt the One-to-one Representation Matching between any pre-selected teacher-student layer pair. In this paper, we present N-to-One…
The Second Monocular Depth Estimation Challenge
Jaime Spencer, C. Stella Qian, Michaela Trescakova +40
This paper discusses the results for the second edition of the Monocular Depth Estimation Challenge (MDEC). This edition was open to methods using any form of supervision, includin…
Omni-Dimensional Dynamic Convolution
Chao Li, Aojun Zhou, Anbang Yao
Learning a single static convolutional kernel in each convolutional layer is the common training paradigm of modern Convolutional Neural Networks (CNNs). Instead, recent research i…
Large Margin Structured Convolution Operator for Thermal Infrared Object Tracking
Peng Gao, Yipeng Ma, Ke Song +3
Compared with visible object tracking, thermal infrared (TIR) object tracking can track an arbitrary target in total darkness since it cannot be influenced by illumination variatio…