Adapting Models to Signal Degradation using Distillation

1 April 2016

Papers citing "Adapting Models to Signal Degradation using Distillation"

12 / 12 papers shown

Title
Efficient Low-Resolution Face Recognition via Bridge Distillation Shiming Ge Shengwei Zhao Chenyu Li Yu Zhang Jia Li CVBM 36 58 0 18 Sep 2024
Object DGCNN: 3D Object Detection using Dynamic Graphs Yue Wang Justin Solomon 3DPC 157 104 0 13 Oct 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
Background Splitting: Finding Rare Classes in a Sea of Background Ravi Teja Mullapudi Fait Poms W. Mark Deva Ramanan Kayvon Fatahalian VLM 37 9 0 28 Aug 2020
Knowledge Distillation: A Survey Jianping Gou B. Yu Stephen J. Maybank Dacheng Tao VLM 19 2,851 0 09 Jun 2020
Learning When and Where to Zoom with Deep Reinforcement Learning Burak Uzkent Stefano Ermon 27 66 0 01 Mar 2020
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation Zeyu Wang Klint Qinami Yannis Karakozis Kyle Genova P. Nair Kenji Hata Olga Russakovsky 38 356 0 26 Nov 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 31 168 0 08 Oct 2019
Bringing Giant Neural Networks Down to Earth with Unlabeled Data Yehui Tang Shan You Chang Xu Boxin Shi Chao Xu 24 11 0 13 Jul 2019
Low-resolution Face Recognition in the Wild via Selective Knowledge Distillation Shiming Ge Shengwei Zhao Chenyu Li Jia Li CVBM 22 188 0 25 Nov 2018
Reasoning about Fine-grained Attribute Phrases using Reference Games Jong-Chyi Su Chenyun Wu Huaizu Jiang Subhransu Maji 34 16 0 29 Aug 2017
MatConvNet - Convolutional Neural Networks for MATLAB Andrea Vedaldi Karel Lenc 183 2,946 0 15 Dec 2014