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Camera traps enable the automatic collection of large quantities of image data.
The use of camera traps for estimating jaguar panthera onca abundance and density using capture/recapture analysis
Scott C Silver, Linde ET Ostro, Laura K Marsh, Leonardo Maffei, Andrew J Noss, Marcella J Kelly, Robert B Wallace, Humberto Gomez, and Guido Ayala · 2004
Earlier work this paper cites.
Estimating species richness and accumulation by modeling species occurrence and detectability
Robert M Dorazio, J Andrew Royle, Bo Söderström, and Anders Glimskär · 2006
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ImageNet: A Large-Scale Hierarchical Image Database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
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Species distribution models: ecological explanation and prediction across space and time
Jane Elith and John R Leathwick · 2009
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Clarifying assumptions behind the estimation of animal density from camera trap rates
J Marcus Rowcliffe, Roland Kays, Chris Carbone, and Patrick A Jansen · 2013
Earlier work this paper cites.
Animal recognition in the mojave desert: Vision tools for field biologists
Michael J Wilber, Walter J Scheirer, Phil Leitner, Brian Heflin, James Zott, Daniel Reinke, David K Delaney, and Terrance E Boult · 2013
Earlier work this paper cites.
Deep convolutional neural network based species recognition for wild animal monitoring
Guobin Chen, Tony X Han, Zhihai He, Roland Kays, and Tavis Forrester · 2014
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Finding areas of motion in camera trap images
Agnieszka Miguel, Sara Beery, Erica Flores, Loren Klemesrud, and Rana Bayrakcismith · 2016
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Animal detection from highly cluttered natural scenes using spatiotemporal object region proposals and patch verification
Zhi Zhang, Zhihai He, Guitao Cao, and Wenming Cao · 2016
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Camera-trap images segmentation using multi-layer robust principal component analysis
Jhony-Heriberto Giraldo-Zuluaga, Augusto Salazar, Alexander Gomez, and Angélica Diaz-Pulido · 2017
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Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence
Darryl I MacKenzie, James D Nichols, J Andrew Royle, Kenneth H Pollock, Larissa Bailey, and James E Hines · 2017
Cited alongside, same era.
Automatically identifying wild animals in camera trap images with deep learning
Mohammed Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Ali Swanson, Craig Packer, and Jeff Clune · 2017
Cited alongside, same era.
Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks
Alexander Gomez Villa, Augusto Salazar, and Francisco Vargas · 2017
Cited alongside, same era.
Fast human-animal detection from highly cluttered camera-trap images using joint background modeling and deep learning classification
Hayder Yousif, Jianhe Yuan, Roland Kays, and Zhihai He · 2017
Cited alongside, same era.
Recognition in terra incognita
Sara Beery, Grant Van Horn, and Pietro Perona · 2018
Presence-only geographical priors for fine-grained image classification
Oisin Mac Aodha, Elijah Cole, and Pietro Perona · 2019
Later among the works it cites.
A deep active learning system for species identification and counting in camera trap images
Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, and Jeff Clune · 2019
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Past, present and future approaches using computer vision for animal re-identification from camera trap data
Stefan Schneider, Graham W Taylor, Stefan Linquist, and Stefan C Kremer · 2019
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Wildlife insights: A platform to maximize the potential of camera trap and other passive sensor wildlife data for the planet
Jorge A Ahumada, Eric Fegraus, Tanya Birch, Nicole Flores, Roland Kays, Timothy G O’Brien, Jonathan Palmer, Stephanie Schuttler, Jennifer Y Zhao, Walter Jetz, et al · 2020
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Cited alongside, same era.
Three novel methods to estimate abundance of unmarked animals using remote cameras
Anna K Moeller, Paul M Lukacs, and Jon S Horne · 2018
Cited alongside, same era.
Deep learning object detection methods for ecological camera trap data
Stefan Schneider, Graham W Taylor, and Stefan Kremer · 2018
Cited alongside, same era.
The inaturalist species classification and detection dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, and Serge Belongie · 2018
Cited alongside, same era.
The iwildcam 2019 challenge dataset
Sara Beery, Dan Morris, and Pietro Perona · 2019
Cited alongside, same era.
Efficient pipeline for camera trap image review
Sara Beery, Dan Morris, and Siyu Yang · 2019
Cited alongside, same era.
The iwildcam 2018 challenge dataset
Sara Beery, Grant van Horn, Oisin MacAodha, and Pietro Perona · 2019
Cited alongside, same era.
Geo-aware networks for fine-grained recognition
Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, and Hartwig Adam · 2019
Cited alongside, same era.
Sara Beery, Elijah Cole, and Arvi Gjoka · 2020
Later among the works it cites.
Synthetic examples improve generalization for rare classes
Sara Beery, Yang Liu, Dan Morris, Jim Piavis, Ashish Kapoor, Neel Joshi, Markus Meister, and Pietro Perona · 2020
Later among the works it cites.
Context r-cnn: Long term temporal context for per-camera object detection
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, and Jonathan Huang · 2020
Later among the works it cites.
Context r-cnn: Long term temporal context for per-camera object detection
Sara Beery, Guanhang Wu, Vivek Rathod, Ronny Votel, and Jonathan Huang · 2020
Later among the works it cites.
Wilds: A benchmark of in-the-wild distribution shifts
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, et al · 2020
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Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: Mlwic2
Michael A Tabak, Mohammad S Norouzzadeh, David W Wolfson, Erica J Newton, Raoul K Boughton, Jacob S Ivan, Eric A Odell, Eric S Newkirk, Reesa Y Conrey, Jennifer L Stenglein, et al · 2020
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The surprising impact of mask-head architecture on novel class segmentation, 2021
Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, and Jonathan Huang · 2021
Closest in time.
Perspectives on individual animal identification from biology and computer vision
Maxime Vidal, Nathan Wolf, Beth Rosenberg, Bradley P Harris, and Alexander Mathis · 2021
Closest in time.