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Needles in Haystacks: On Classifying Tiny Objects in Large Images

16 August 2019

Papers citing "Needles in Haystacks: On Classifying Tiny Objects in Large Images"

30 / 30 papers shown

Title
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models Hengyi Wang Haizhou Shi Shiwei Tan Weiyi Qin Wenyuan Wang Tunyu Zhang A. Nambi T. Ganu Hao Wang 118 21 0 17 Jun 2024
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation Ali Khajegili Mirabadi Graham Archibald Amirali Darbandsari A. Contreras-Sanz Ramin Nakhli ... C. Gilks Peter C Black Gang Wang H. Farahani A. Bashashati 97 5 0 06 Feb 2024
Processing Megapixel Images with Deep Attention-Sampling Models Angelos Katharopoulos Franccois Fleuret 79 65 0 03 May 2019
Approximating CNNs with Bag-of-local-Features models works surprisingly well on ImageNet Wieland Brendel Matthias Bethge SSL FAtt 109 561 0 20 Mar 2019
R $^2$ -CNN: Fast Tiny Object Detection in Large-Scale Remote Sensing Images Jiangmiao Pang Cong Li Jianping Shi Zhi-hai Xu H. Feng ObjD 75 74 0 16 Feb 2019
Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks Jason W. Wei L. Tafe Yevgeniy A. Linnik L. Vaickus Naofumi Tomita Saeed Hassanpour MedIm 70 259 0 31 Jan 2019
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects Carole H. Sudre B. G. Anson S. Ingala C. Lane Daniel Jimenez L. Haider Thomas Varsavsky Lorna Smith H. Jäger M. Jorge Cardoso 54 19 0 21 Dec 2018
Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides Naofumi Tomita B. Abdollahi Jason W. Wei Bing Ren A. Suriawinata Saeed Hassanpour MedIm 55 171 0 20 Nov 2018
BACH: Grand Challenge on Breast Cancer Histology Images Guilherme Aresta Teresa Araújo S. Kwok Sai Saketh Chennamsetty P. MohammedSafwanK. ... L. Boulmane A. Campilho C. Eloy A. Polónia Paulo Aguiar 418 570 0 13 Aug 2018
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer Byungjae Lee K. Paeng 56 55 0 30 May 2018
Exploring the Limits of Weakly Supervised Pretraining D. Mahajan Ross B. Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin R. Bharambe Laurens van der Maaten VLM 205 1,370 0 02 May 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 130 2,082 0 18 Apr 2018
Sensitivity and Generalization in Neural Networks: an Empirical Study Roman Novak Yasaman Bahri Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein AAML 97 442 0 23 Feb 2018
Attention-based Deep Multiple Instance Learning Maximilian Ilse Jakub M. Tomczak Max Welling 182 1,827 0 13 Feb 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels Lu Jiang Zhengyuan Zhou Thomas Leung Li Li Li Fei-Fei NoLa 131 1,456 0 14 Dec 2017
DOTA: A Large-scale Dataset for Object Detection in Aerial Images Gui-Song Xia X. Bai Jian Ding Zhen Zhu Serge J. Belongie Jiebo Luo Mihai Datcu Marcello Pelillo Liangpei Zhang ObjD 129 2,186 0 28 Nov 2017
Three Factors Influencing Minima in SGD Stanislaw Jastrzebski Zachary Kenton Devansh Arpit Nicolas Ballas Asja Fischer Yoshua Bengio Amos Storkey 80 463 0 13 Nov 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta VLM 207 2,407 0 10 Jul 2017
A Closer Look at Memorization in Deep Networks Devansh Arpit Stanislaw Jastrzebski Nicolas Ballas David M. Krueger Emmanuel Bengio ... Tegan Maharaj Asja Fischer Aaron Courville Yoshua Bengio Simon Lacoste-Julien TDI 131 1,829 0 16 Jun 2017
Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: the LUNA16 challenge A. Setio A. Traverso Thomas de Bel Moira S. N. Berens C. V. D. Bogaard ... Jef Vandemeulebroucke N. Walasek G. Zuidhof Bram van Ginneken Colin Jacobs 104 1,080 0 23 Dec 2016
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 351 4,636 0 10 Nov 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 828 36,892 0 25 Aug 2016
Instance Normalization: The Missing Ingredient for Fast Stylization Dmitry Ulyanov Andrea Vedaldi Victor Lempitsky OOD 180 3,714 0 27 Jul 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 354 10,196 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Dynamic Capacity Networks Amjad Almahairi Nicolas Ballas Tim Cooijmans Yin Zheng Hugo Larochelle Aaron Courville 100 96 0 24 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 469 43,347 0 11 Feb 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 169 3,659 0 24 Jun 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 437 43,875 0 01 May 2014