MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection

26 September 2023

Papers citing "MoCaE: Mixture of Calibrated Experts Significantly Improves Object Detection"

29 / 29 papers shown

Title
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications Siyuan Mu Sen Lin MoE 303 5 0 10 Mar 2025
Enhancing Domain Adaptation through Prompt Gradient Alignment Hoang Phan Lam C. Tran Quyen Tran Trung Le 64 0 0 13 Jun 2024
On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines Selim Kuzucu Kemal Oksuz Jonathan Sadeghi P. Dokania 59 4 0 30 May 2024
EVA: Exploring the Limits of Masked Visual Representation Learning at Scale Yuxin Fang Wen Wang Binhui Xie Quan-Sen Sun Ledell Yu Wu Xinggang Wang Tiejun Huang Xinlong Wang Yue Cao VLM CLIP 139 693 0 14 Nov 2022
Exploiting Unlabeled Data with Vision and Language Models for Object Detection Shiyu Zhao Zhixing Zhang S. Schulter Long Zhao Vijay Kumar B.G Anastasis Stathopoulos Manmohan Chandraker Dimitris N. Metaxas VLM ObjD 41 100 0 18 Jul 2022
Parametric and Multivariate Uncertainty Calibration for Regression and Object Detection Fabian Küppers Jonas Schneider Anselm Haselhoff UQCV 47 8 0 04 Jul 2022
DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection Hao Zhang Feng Li Shilong Liu Lei Zhang Hang Su Jun Zhu L. Ni H. Shum ViT 119 1,399 0 07 Mar 2022
Mixture-of-Experts with Expert Choice Routing Yan-Quan Zhou Tao Lei Han-Chu Liu Nan Du Yanping Huang Vincent Zhao Andrew M. Dai Zhifeng Chen Quoc V. Le James Laudon MoE 215 341 0 18 Feb 2022
Masked-attention Mask Transformer for Universal Image Segmentation Bowen Cheng Ishan Misra Alex Schwing Alexander Kirillov Rohit Girdhar ISeg 171 2,315 0 02 Dec 2021
Dynamic Head: Unifying Object Detection Heads with Attentions Xiyang Dai Yinpeng Chen Bin Xiao Dongdong Chen Mengchen Liu Lu Yuan Lei Zhang 36 566 0 15 Jun 2021
Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors Ali Harakeh Steven L. Waslander UQCV 31 41 0 13 Jan 2021
Deformable DETR: Deformable Transformers for End-to-End Object Detection Xizhou Zhu Weijie Su Lewei Lu Bin Li Xiaogang Wang Jifeng Dai ViT 136 4,993 0 08 Oct 2020
A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection Kemal Oksuz Baris Can Cam Emre Akbas Sinan Kalkan 53 42 0 28 Sep 2020
TIDE: A General Toolbox for Identifying Object Detection Errors Daniel Bolya Sean Foley James Hays Judy Hoffman 61 190 0 18 Aug 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 65 647 0 11 Jun 2020
Calibrating Deep Neural Networks using Focal Loss Jishnu Mukhoti Viveka Kulharia Amartya Sanyal Stuart Golodetz Philip Torr P. Dokania UQCV 69 454 0 21 Feb 2020
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection Shifeng Zhang Cheng Chi Yongqiang Yao Zhen Lei Stan Z. Li ObjD 104 1,527 0 05 Dec 2019
Variational Mixture-of-Experts Autoencoders for Multi-Modal Deep Generative Models Yuge Shi Siddharth Narayanaswamy Brooks Paige Philip Torr DRL 58 267 0 08 Nov 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 103 352 0 23 Sep 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation Agrim Gupta Piotr Dollár Ross B. Girshick ISeg VLM 81 1,352 0 08 Aug 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 80 2,845 0 17 Jun 2019
CenterNet: Keypoint Triplets for Object Detection Kaiwen Duan S. Bai Lingxi Xie H. Qi Qingming Huang Q. Tian NoLa 88 2,663 0 17 Apr 2019
FCOS: Fully Convolutional One-Stage Object Detection Zhi Tian Chunhua Shen Hao Chen Tong He ObjD 88 4,969 0 02 Apr 2019
nuScenes: A multimodal dataset for autonomous driving Holger Caesar Varun Bankiti Alex H. Lang Sourabh Vora Venice Erin Liong Qiang Xu Anush Krishnan Yuxin Pan G. Baldan Oscar Beijbom 3DPC 224 5,653 0 26 Mar 2019
Bounding Box Regression with Uncertainty for Accurate Object Detection Yihui He Chenchen Zhu Jianren Wang Marios Savvides Xinming Zhang ObjD 65 466 0 23 Sep 2018
Localization Recall Precision (LRP): A New Performance Metric for Object Detection Kemal Oksuz Baris Can Cam Emre Akbas Sinan Kalkan ObjD 35 109 0 04 Jul 2018
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection Debidatta Dwibedi Ishan Misra M. Hebert 84 619 0 04 Aug 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 411 10,281 0 16 Nov 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks Jifeng Dai Yi Li Kaiming He Jian Sun ObjD 81 5,627 0 20 May 2016