Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation

7 December 2020

Hang Xu

Xiaodan Liang

Papers citing "Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation"

35 / 35 papers shown

Title
Auto-Panoptic: Cooperative Multi-Component Architecture Search for Panoptic Segmentation Yangxin Wu Gengwei Zhang Hang Xu Xiaodan Liang Liang Lin 38 21 0 30 Oct 2020
Bidirectional Graph Reasoning Network for Panoptic Segmentation Yangxin Wu Gengwei Zhang Yiming Gao Xiajun Deng Ke Gong Xiaodan Liang Liang Lin 27 57 0 14 Apr 2020
BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation Yifeng Chen Guangchen Lin Songyuan Li Omar Elfarouk Bourahla Yiming Wu Fangfang Wang Junyi Feng Mingliang Xu Xi Li ISeg 44 65 0 31 Mar 2020
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation Yibo Yang Hongyang Li Xia Li Qijie Zhao Jianlong Wu Zhouchen Lin ISeg 21 63 0 18 Nov 2019
SpatialFlow: Bridging All Tasks for Panoptic Segmentation Qiang Chen Anda Cheng Xiangyu He Peisong Wang Jian Cheng 65 30 0 19 Oct 2019
Panoptic-DeepLab Bowen Cheng Maxwell D. Collins Yukun Zhu Ting Liu Thomas S. Huang Hartwig Adam Liang-Chieh Chen 30 610 0 10 Oct 2019
Learning Instance Occlusion for Panoptic Segmentation Justin Lazarow Kwonjoon Lee Kunyu Shi Zhuowen Tu ISeg 29 72 0 13 Jun 2019
AM-LFS: AutoML for Loss Function Search Chuming Li Yuan Xin Chen Lin Minghao Guo Wei Wu Wanli Ouyang Junjie Yan VLM 72 71 0 17 May 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Shi Sun Carlos Guestrin J. Susskind 34 75 0 15 May 2019
Seamless Scene Segmentation Lorenzo Porzi Samuel Rota Buló Aleksander Colovic Peter Kontschieder SSeg 44 209 0 03 May 2019
An End-to-End Network for Panoptic Segmentation Huanyu Liu Chao Peng Changqian Yu Jingbo Wang Xuantong Liu Gang Yu Wei Jiang ISeg 37 148 0 12 Mar 2019
UPSNet: A Unified Panoptic Segmentation Network Yuwen Xiong Renjie Liao Hengshuang Zhao Rui Hu Min Bai Ersin Yumer R. Urtasun SSeg 31 429 0 12 Jan 2019
Panoptic Feature Pyramid Networks Alexander Kirillov Ross B. Girshick Kaiming He Piotr Dollár ISeg SSeg 59 1,278 0 08 Jan 2019
Attention-guided Unified Network for Panoptic Segmentation Yanwei Li Xinze Chen Zheng Zhu Lingxi Xie Guan Huang Dalong Du Xingang Wang 27 279 0 10 Dec 2018
Deformable ConvNets v2: More Deformable, Better Results Xizhou Zhu Han Hu Stephen Lin Jifeng Dai ObjD 59 1,998 0 27 Nov 2018
AutoLoss: Learning Discrete Schedules for Alternate Optimization Haowen Xu Huatian Zhang Zhiting Hu Xiaodan Liang Ruslan Salakhutdinov Eric Xing 42 30 0 04 Oct 2018
BOHB: Robust and Efficient Hyperparameter Optimization at Scale Stefan Falkner Aaron Klein Frank Hutter BDL 71 1,077 0 04 Jul 2018
Learning to Reweight Examples for Robust Deep Learning Mengye Ren Wenyuan Zeng Binh Yang R. Urtasun OOD NoLa 85 1,419 0 24 Mar 2018
Panoptic Segmentation Alexander Kirillov Kaiming He Ross B. Girshick Carsten Rother Piotr Dollár 69 1,425 0 03 Jan 2018
Cascade R-CNN: Delving into High Quality Object Detection Zhaowei Cai Nuno Vasconcelos ObjD 88 4,885 0 03 Dec 2017
Population Based Training of Neural Networks Max Jaderberg Valentin Dalibard Simon Osindero Wojciech M. Czarnecki Jeff Donahue ... Tim Green Iain Dunning Karen Simonyan Chrisantha Fernando Koray Kavukcuoglu 30 736 0 27 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 58 1,272 0 07 Nov 2017
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 142 3,093 0 19 May 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 215 27,018 0 20 Mar 2017
Deformable Convolutional Networks Jifeng Dai Haozhi Qi Yuwen Xiong Yi Li Guodong Zhang Han Hu Yichen Wei 162 5,291 0 17 Mar 2017
Online Learning Rate Adaptation with Hypergradient Descent A. G. Baydin R. Cornish David Martínez-Rubio Mark Schmidt Frank Wood ODL 37 245 0 14 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 350 21,951 0 09 Dec 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory Iasonas Kokkinos SSeg SSL 96 672 0 07 Sep 2016
Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization Lisha Li Kevin Jamieson Giulia DeSalvo Afshin Rostamizadeh Ameet Talwalkar 99 2,307 0 21 Mar 2016
Hyperparameter optimization with approximate gradient Fabian Pedregosa 74 449 0 07 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 682 192,638 0 10 Dec 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 42 18,534 0 06 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 144 149,474 0 22 Dec 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 58 6,619 0 22 Dec 2012
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 191 7,883 0 13 Jun 2012