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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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17
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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2017
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Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
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14
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Modeling the Background for Incremental Learning in Semantic Segmentation
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2020
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Fabio Cermelli
Massimiliano Mancini
Samuel Rota Bulò
Elisa Ricci
Barbara Caputo
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13
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Pyramid Scene Parsing Network
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2017
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Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
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13
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Fully convolutional networks for semantic segmentation
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2015
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Jonathan Long
Evan Shelhamer
Trevor Darrell
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12
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Rethinking Atrous Convolution for Semantic Image Segmentation
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2017
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Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
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12
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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2018
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Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
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12
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Distilling the Knowledge in a Neural Network
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2015
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Geoffrey E. Hinton
Oriol Vinyals
Jay B. Dean
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10
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Learning without Forgetting
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2017
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Zhizhong Li
Derek Hoiem
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10
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Incremental Learning Techniques for Semantic Segmentation
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2019
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Umberto Michieli
Pietro Zanuttigh
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10
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SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
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2017
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Vijay Badrinarayanan
A. C. Kendall
Roberto Cipolla
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9
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iCaRL: Incremental Classifier and Representation Learning
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2017
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Sylvestre-Alvise Rebuffi
Alexander Kolesnikov
Georg Sperl
Christoph H. Lampert
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9
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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2016
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Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
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8
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ExFuse: Enhancing Feature Fusion for Semantic Segmentation
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2018
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Zhenli Zhang
Xiangyu Zhang
Chao Peng
Xiangyang Xue
Jian Sun
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8
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In-place Activated BatchNorm for Memory-Optimized Training of DNNs
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2018
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Samuel Rota Bulò
Lorenzo Porzi
Peter Kontschieder
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8
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RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
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2017
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Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
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8
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PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning
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2018
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Arun Mallya
Svetlana Lazebnik
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7
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Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence
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2018
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Arslan Chaudhry
Puneet K. Dokania
Thalaiyasingam Ajanthan
Philip H. S. Torr
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7
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PLOP: Learning without Forgetting for Continual Semantic Segmentation
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2021
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Arthur Douillard
Yifu Chen
Arnaud Dapogny
Matthieu Cord
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6
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Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
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2018
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Arun Mallya
Dillon Davis
Svetlana Lazebnik
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6
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Learning Without Memorizing
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2019
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Prithviraj Dhar
Rajat Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
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5
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Continual Learning with Deep Generative Replay
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2017
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Hanul Shin
Jung Kwon Lee
Jaehong Kim
Jiwon Kim
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5
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Dual Attention Network for Scene Segmentation
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2019
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Jun Fu
Jing Liu
Haijie Tian
Yong Li
Yongjun Bao
Zhiwei Fang
Hanqing Lu
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5
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Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations
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2021
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Umberto Michieli
Pietro Zanuttigh
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5
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OCNet: Object Context Network for Scene Parsing
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2018
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Yuhui Yuan
Jingdong Wang
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5
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Overcoming catastrophic forgetting in neural networks
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2017
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James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka GrabskaâBarwiĹska
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5
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Detecting the Unexpected via Image Resynthesis
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2019
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Krzysztof Lis
Krishna Kanth Nakka
Pascal Fua
Mathieu Salzmann
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5
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Prototypical Networks for Few-shot Learning
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2017
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Jake Snell
Kevin Swersky
Richard S. Zemel
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5
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End-to-End Incremental Learning
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2018
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Francisco M. Castro
Manuel J. MarĂnâJimĂŠnez
NicolĂĄs Guil
Cordelia Schmid
Karteek Alahari
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5
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Per-Pixel Classification is Not All You Need for Semantic Segmentation
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2021
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Bowen Cheng
Alexander G. Schwing
Alexander Kirillov
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5
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ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
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2016
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Di Lin
Jifeng Dai
Jiaya Jia
Kaiming He
Jian Sun
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4
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Progressive Neural Networks
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2016
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Andrei A. Rusu
Neil C. Rabinowitz
Guillaume Desjardins
Hubert Soyer
James Kirkpatrick
Koray Kavukcuoglu
Razvan Pascanu
Raia Hadsell
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4
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Memory Aware Synapses: Learning What (not) to Forget
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2018
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Rahaf Aljundi
Francesca Babiloni
Mohamed Elhoseiny
Marcus Rohrbach
Tinne Tuytelaars
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4
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Context Encoding for Semantic Segmentation
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2018
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Hang Zhang
Kristin Dana
Jianping Shi
Zhongyue Zhang
Xiaogang Wang
Ambrish Tyagi
Amit Agrawal
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4
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Focal Loss for Dense Object Detection
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2017
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr DollĂĄr
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4
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One-Shot Learning for Semantic Segmentation
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2017
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Amirreza Shaban
Shray Bansal
Zhen Liu
Irfan Essa
Byron Boots
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4
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SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers
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2021
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Enze Xie
Wenhai Wang
Zhiding Yu
Anima Anandkumar
Jose M. Ălvarez
Ping Luo
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4
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PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning
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2020
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Arthur Douillard
Matthieu Cord
Charles Ollion
Thomas Robert
Eduardo Valle
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4
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
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2021
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Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
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4
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Large Scale Incremental Learning
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2019
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Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Yun Fu
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4
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Low-Shot Learning with Imprinted Weights
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2018
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H. Jerry Qi
Matthew A. Brown
David Lowe
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4
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Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
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2019
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Oleksiy Ostapenko
Mihai Puscas
Tassilo Klein
Patrick Jähnichen
Moin Nabi
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4
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Incremental Learning for Semantic Segmentation of Large-Scale Remote Sensing Data
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2019
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Onur TaĹar
Yuliya Tarabalka
Pierre Alliez
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4
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FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference
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2019
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Jungbeom Lee
Eunji Kim
Sungmin Lee
Jangho Lee
Sungroh Yoon
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4
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Masked-attention Mask Transformer for Universal Image Segmentation
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2022
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Bowen Cheng
Ishan Misra
Alexander G. Schwing
Alexander Kirillov
Rohit Girdhar
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4
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Deep learning a grasp function for grasping under gripper pose uncertainty
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2016
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Edward Johns
Stefan Leutenegger
Andrew J. Davison
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3
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Lost and Found: detecting small road hazards for self-driving vehicles
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2016
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Peter Pinggera
Sebastian Ramos
Stefan Gehrig
Uwe Franke
Carsten Rother
Rudolf Mester
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3
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Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
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2017
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Shiyu Liang
Yixuan Li
R. Srikant
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3
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Exploiting Saliency for Object Segmentation from Image Level Labels
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2017
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Seong Joon Oh
Rodrigo Benenson
Anna Khoreva
Zeynep Akata
Mario Fritz
Bernt Schiele
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3
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One-Shot Learning for Semantic Segmentation
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2017
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Amirreza Shaban
Shray Bansal
Zhen Liu
Irfan Essa
Byron Boots
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3
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