OpenNet: Incremental Learning for Autonomous Driving Object Detection
with Balanced Loss

OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss

25 November 2023

Papers citing "OpenNet: Incremental Learning for Autonomous Driving Object Detection with Balanced Loss"

11 / 11 papers shown

Title
Towards Open-Set Object Detection and Discovery Jiyang Zheng Weihao Li Jie Hong L. Petersson Nick Barnes ObjD 71 67 0 12 Apr 2022
CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving Kaican Li Kai Chen Haoyu Wang Lanqing Hong Chao Ye ... Chunjing Xu Dit-Yan Yeung Xiaodan Liang Zhenguo Li Hang Xu 78 100 0 15 Mar 2022
Revisiting Open World Object Detection Xiaowei Zhao Xianglong Liu Yifan Shen Yixuan Qiao Yuqing Ma Duorui Wang 96 52 0 03 Jan 2022
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez Feng Yu ObjD 210 554 0 16 Mar 2020
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 102 855 0 10 Sep 2019
Large Scale Incremental Learning Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Y. Fu CLL 96 1,256 0 30 May 2019
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 201 1,453 0 02 Dec 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 230 2,232 0 08 Mar 2018
Gradient Episodic Memory for Continual Learning David Lopez-Paz MarcÁurelio Ranzato VLM CLL 127 2,711 0 26 Jun 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Feature Pyramid Networks for Object Detection Nayeon Lee Piotr Dollár Ross B. Girshick Kaiming He Bharath Hariharan Serge J. Belongie ObjD 468 22,102 0 09 Dec 2016