Multi-Scale Aligned Distillation for Low-Resolution Detection

14 September 2021

Jiuxiang Gu

Yi Wang

Papers citing "Multi-Scale Aligned Distillation for Low-Resolution Detection"

50 / 74 papers shown

Title
High Quality Segmentation for Ultra High-resolution Images Tiancheng Shen Yuechen Zhang Lu Qi Jason Kuen Xingyu Xie Jianlong Wu Zhe Lin Jiaya Jia 98 42 0 29 Nov 2021
Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision Yanwei Li Hengshuang Zhao Xiaojuan Qi Yukang Chen Lu Qi Liwei Wang Zeming Li Jian Sun Jiaya Jia 48 51 0 17 Aug 2021
Open-World Entity Segmentation Lu Qi Jason Kuen Yi Wang Jiuxiang Gu Hengshuang Zhao Zhe Lin Philip Torr Jiaya Jia OCL SSeg VLM 53 80 0 29 Jul 2021
Scale-aware Automatic Augmentation for Object Detection Yukang Chen Yanwei Li Tao Kong Lu Qi Ruihang Chu Lei Li Jiaya Jia 41 49 0 31 Mar 2021
Resolution Switchable Networks for Runtime Efficient Image Recognition Yikai Wang F. Sun Duo Li Anbang Yao 38 25 0 19 Jul 2020
Learning to Learn Parameterized Classification Networks for Scalable Input Images Duo Li Anbang Yao Qifeng Chen 22 11 0 13 Jul 2020
Mask Encoding for Single Shot Instance Segmentation Rufeng Zhang Zhi Tian Chunhua Shen Mingyu You Youliang Yan ISeg 29 100 0 26 Mar 2020
PointINS: Point-based Instance Segmentation Lu Qi Xinming Zhang Yukang Chen Ying-Cong Chen Xiangyu Zhang Jian Sun Jiaya Jia ISeg 3DPC 38 31 0 13 Mar 2020
Conditional Convolutions for Instance Segmentation Zhi Tian Chunhua Shen Hao Chen ISeg 204 602 0 12 Mar 2020
SOLO: Segmenting Objects by Locations Xinlong Wang Tao Kong Chunhua Shen Yuning Jiang Lei Li SSeg ISeg 29 672 0 10 Dec 2019
EmbedMask: Embedding Coupling for One-stage Instance Segmentation Hui Ying Zhaojin Huang Shu Liu Tianjia Shao Kun Zhou ISeg 33 38 0 04 Dec 2019
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 71 1,037 0 23 Oct 2019
Vehicle Re-identification with Viewpoint-aware Metric Learning Ruihang Chu Yifan Sun Yadong Li Ziwei Liu Chi Zhang Yichen Wei 87 172 0 09 Oct 2019
On the Efficacy of Knowledge Distillation Ligang He Rui Mao 66 603 0 03 Oct 2019
PolarMask: Single Shot Instance Segmentation with Polar Representation Enze Xie Pei Sun Xiaoge Song Wenhai Wang Ding Liang Chunhua Shen Ping Luo ISeg 38 539 0 29 Sep 2019
MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution Taojiannan Yang Sijie Zhu Chong Chen Shen Yan Mi Zhang Andrew Willis OOD 30 74 0 27 Sep 2019
Global Sparse Momentum SGD for Pruning Very Deep Neural Networks Xiaohan Ding Guiguang Ding Xiangxin Zhou Yuchen Guo Jungong Han Ji Liu 31 162 0 27 Sep 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 80 963 0 23 Jul 2019
MMDetection: Open MMLab Detection Toolbox and Benchmark Kai-xiang Chen Jiaqi Wang Jiangmiao Pang Yuhang Cao Yu Xiong ... Jingdong Wang Jianping Shi Wanli Ouyang Chen Change Loy Dahua Lin VOS 74 2,845 0 17 Jun 2019
Distilling Object Detectors with Fine-grained Feature Imitation Tao Wang Li-xin Yuan Xiaopeng Zhang Jiashi Feng ObjD 15 379 0 09 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 34 17,950 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 219 6,685 0 06 May 2019
Towards Efficient Model Compression via Learned Global Ranking Ting-Wu Chin Ruizhou Ding Cha Zhang Diana Marculescu 34 170 0 28 Apr 2019
Objects as Points Xingyi Zhou Dequan Wang Philipp Krahenbuhl 3DPC 68 3,240 0 16 Apr 2019
Relational Knowledge Distillation Wonpyo Park Dongju Kim Yan Lu Minsu Cho 33 1,396 0 10 Apr 2019
A Comprehensive Overhaul of Feature Distillation Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak J. Choi 42 571 0 03 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection Zhi Tian Chunhua Shen Hao Chen Tong He ObjD 76 4,969 0 02 Apr 2019
TensorMask: A Foundation for Dense Object Segmentation Xinlei Chen Ross B. Girshick Kaiming He Piotr Dollár ISeg 40 320 0 28 Mar 2019
DetNAS: Backbone Search for Object Detection Yukang Chen Tong Yang Xinming Zhang Gaofeng Meng Xinyu Xiao Jian Sun 45 265 0 26 Mar 2019
Mask Scoring R-CNN Zhaojin Huang Lichao Huang Yongchao Gong Chang Huang Xinggang Wang ISeg SSeg 48 909 0 01 Mar 2019
Deep High-Resolution Representation Learning for Human Pose Estimation Ke Sun Bin Xiao Dong Liu Jingdong Wang 3DV 91 4,024 0 25 Feb 2019
Improved Knowledge Distillation via Teacher Assistant Seyed Iman Mirzadeh Mehrdad Farajtabar Ang Li Nir Levine Akihiro Matsukawa H. Ghasemzadeh 70 1,073 0 09 Feb 2019
Slimmable Neural Networks Jiahui Yu L. Yang N. Xu Jianchao Yang Thomas Huang 50 549 0 21 Dec 2018
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression Yuchao Li Shaohui Lin Baochang Zhang Jianzhuang Liu David Doermann Yongjian Wu Feiyue Huang Rongrong Ji 51 130 0 11 Dec 2018
Rethinking ImageNet Pre-training Kaiming He Ross B. Girshick Piotr Dollár VLM SSeg 81 1,081 0 21 Nov 2018
Discrimination-aware Channel Pruning for Deep Neural Networks Zhuangwei Zhuang Mingkui Tan Bohan Zhuang Jing Liu Yong Guo Qingyao Wu Junzhou Huang Jin-Hui Zhu 87 597 0 28 Oct 2018
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning Pramod Kaushik Mudrakarta Mark Sandler A. Zhmoginov Andrew G. Howard 29 68 0 25 Oct 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design Ningning Ma Xiangyu Zhang Haitao Zheng Jian Sun 99 4,957 0 30 Jul 2018
SNIPER: Efficient Multi-Scale Training Bharat Singh Mahyar Najibi L. Davis ObjD 46 483 0 23 May 2018
Simple Baselines for Human Pose Estimation and Tracking Bin Xiao Haiping Wu Yichen Wei 3DH VOT 102 1,778 0 17 Apr 2018
YOLOv3: An Incremental Improvement Joseph Redmon Ali Farhadi ObjD 28 21,306 0 08 Apr 2018
Path Aggregation Network for Instance Segmentation Shu Liu Lu Qi Haifang Qin Jianping Shi Jiaya Jia ISeg SSeg 75 5,696 0 05 Mar 2018
Model compression via distillation and quantization A. Polino Razvan Pascanu Dan Alistarh MQ 57 722 0 15 Feb 2018
Paraphrasing Complex Network: Network Compression via Factor Transfer Jangho Kim Seonguk Park Nojun Kwak 43 545 0 14 Feb 2018
AMC: AutoML for Model Compression and Acceleration on Mobile Devices Yihui He Ji Lin Zhijian Liu Hanrui Wang Li Li Song Han 53 1,346 0 10 Feb 2018
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks Jason Kuen Xiangfei Kong Zhe Lin G. Wang Jianxiong Yin Simon See Yap-Peng Tan BDL 37 25 0 29 Jan 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks Mark Sandler Andrew G. Howard Menglong Zhu A. Zhmoginov Liang-Chieh Chen 98 19,124 0 13 Jan 2018
An Analysis of Scale Invariance in Object Detection - SNIP Bharat Singh L. Davis ObjD 69 738 0 22 Nov 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 77 1,262 0 05 Oct 2017
Cartman: The low-cost Cartesian Manipulator that won the Amazon Robotics Challenge D. Morrison Adam W. Tow M. McTaggart R. Smith N. Kelly-Boxall ... Zheyu Zhuang Christopher F. Lehnert Ian Reid Peter Corke Jurgen Leitner 41 138 0 19 Sep 2017