Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?

24 November 2021

Papers citing "Application of deep learning to camera trap data for ecologists in planning / engineering -- Can captivity imagery train a model which generalises to the wild?"

22 / 22 papers shown

Title
The iWildCam 2021 Competition Dataset Sara Beery Arush Agarwal Elijah Cole Vighnesh Birodkar 67 78 0 07 May 2021
The surprising impact of mask-head architecture on novel class segmentation Vighnesh Birodkar Zhichao Lu Siyang Li V. Rathod Jonathan Huang ISeg 58 27 0 01 Apr 2021
NDD20: A large-scale few-shot dolphin dataset for coarse and fine-grained categorisation Cameron Trotter Georgia Atkinson Matt Sharpe Kirsten Richardson Stephen McGough Nick Wright Ben Burville Per Berggren 44 24 0 27 May 2020
A deep active learning system for species identification and counting in camera trap images M. S. Norouzzadeh Dan Morris Sara Beery Neel Joshi Nebojsa Jojic Jeff Clune HAI 46 171 0 22 Oct 2019
Efficient Pipeline for Camera Trap Image Review Sara Beery Dan Morris Siyu Yang 33 142 0 15 Jul 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks Mingxing Tan Quoc V. Le 3DV MedIm 153 18,179 0 28 May 2019
Searching for MobileNetV3 Andrew G. Howard Mark Sandler Grace Chu Liang-Chieh Chen Bo Chen ... Yukun Zhu Ruoming Pang Vijay Vasudevan Quoc V. Le Hartwig Adam 359 6,804 0 06 May 2019
CenterNet: Keypoint Triplets for Object Detection Kaiwen Duan S. Bai Lingxi Xie H. Qi Qingming Huang Q. Tian NoLa 119 2,698 0 17 Apr 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 606 10,590 0 12 Dec 2018
Past, Present, and Future Approaches Using Computer Vision for Animal Re-Identification from Camera Trap Data Stefan Schneider Graham W. Taylor Stefan S. Linquist Stefan C. Kremer 56 162 0 19 Nov 2018
Recognition in Terra Incognita Sara Beery Grant Van Horn Pietro Perona 97 852 0 13 Jul 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 1.2K 20,892 0 17 Apr 2017
Mask R-CNN Kaiming He Georgia Gkioxari Piotr Dollár Ross B. Girshick ObjD 366 27,244 0 20 Mar 2017
Xception: Deep Learning with Depthwise Separable Convolutions François Chollet MDE BDL PINN 1.4K 14,608 0 07 Oct 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 793 36,881 0 25 Aug 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,416 0 02 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 854 9,346 0 06 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 528 62,377 0 04 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Microsoft COCO: Common Objects in Context Nayeon Lee Michael Maire Serge J. Belongie Lubomir Bourdev Ross B. Girshick James Hays Pietro Perona Deva Ramanan C. L. Zitnick Piotr Dollár ObjD 429 43,814 0 01 May 2014