Depthwise Convolution is All You Need for Learning Multiple Visual
Domains

Depthwise Convolution is All You Need for Learning Multiple Visual Domains

3 February 2019

Papers citing "Depthwise Convolution is All You Need for Learning Multiple Visual Domains"

10 / 10 papers shown

Title
WhACC: Whisker Automatic Contact Classifier with Expert Human-Level Performance Phillip Maire Samson G. King Jonathan Andrew Cheung Stefanie Walker Samuel Andrew Hires 46 0 0 06 Jan 2025
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks Ferheen Ayaz Idris Zakariyya José Cano S. Keoh Jeremy Singer D. Pau Mounia Kharbouche-Harrari 19 5 0 25 Apr 2023
Multi-domain Learning for Updating Face Anti-spoofing Models Xiao Guo Yaojie Liu Anil Jain Xiaoming Liu CLL CVBM 16 30 0 23 Aug 2022
Fast Object Placement Assessment Li Niu Qingyang Liu Zhenchen Liu Jiangtong Li 19 14 0 28 May 2022
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation Yinan He Gengshi Huang Siyu Chen Jianing Teng Wang Kun Zhen-fei Yin Lu Sheng Ziwei Liu Yu Qiao Jing Shao VLM SSL ViT 37 7 0 16 Mar 2022
Benchmarking of DL Libraries and Models on Mobile Devices Qiyang Zhang Xiang Li Xiangying Che Xiao Ma Ao Zhou Mengwei Xu Shangguang Wang Yun Ma Xuanzhe Liu 25 48 0 14 Feb 2022
Multi-Domain Incremental Learning for Semantic Segmentation Prachi Garg Rohit Saluja V. Balasubramanian Chetan Arora A. Subramanian C. V. Jawahar CLL 25 32 0 23 Oct 2021
AdaFilter: Adaptive Filter Fine-tuning for Deep Transfer Learning Yunhui Guo Yandong Li Liqiang Wang Tajana Simunic 29 41 0 21 Nov 2019
3D U $^2$ -Net: A 3D Universal U-Net for Multi-Domain Medical Image Segmentation Chao Huang Hu Han Qingsong Yao Shankuan Zhu S. Kevin Zhou OOD SSeg 27 71 0 04 Sep 2019
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse Y. Yoo Dongyoon Han Sangdoo Yun CVBM 16 43 0 15 Jun 2019