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Object Recognition with and without Objects

20 November 2016

Papers citing "Object Recognition with and without Objects"

50 / 51 papers shown

Title
Robust Context-Aware Object Recognition Klara Janouskova Cristian Gavrus Jirí Matas 52 0 0 01 Oct 2025
Quantifying Context Bias in Domain Adaptation for Object Detection Hojun Son Asma Almutairi Arpan Kusari AI4CE 249 1 0 23 Sep 2024
Investigating the Benefits of Projection Head for Representation LearningInternational Conference on Learning Representations (ICLR), 2024 Yihao Xue Eric Gan Jiayi Ni Siddharth Joshi Baharan Mirzasoleiman 168 19 0 18 Mar 2024
Leveraging Habitat Information for Fine-grained Bird Identification Tin Nguyen Peijie Chen Anh Totti Nguyen VLM 275 1 0 22 Dec 2023
XIMAGENET-12: An Explainable AI Benchmark Dataset for Model Robustness Evaluation Qiang Li Dan Zhang Shengzhao Lei Xun Zhao Porawit Kamnoedboon WeiWei Li Junhao Dong Shuyan Li VLM 127 1 0 12 Oct 2023
Masking Strategies for Background Bias Removal in Computer Vision Models Ananthu Aniraj C. Dantas Dino Ienco Diego Marcos OOD OCL 170 10 0 23 Aug 2023
Domain Generalization via Nuclear Norm Regularization Zhenmei Shi Yifei Ming Ying Fan Frederic Sala Yingyu Liang 167 16 0 13 Mar 2023
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNetIEEE International Conference on Computer Vision (ICCV), 2022 Yannic Neuhaus Maximilian Augustin Valentyn Boreiko Matthias Hein AAML 179 39 0 09 Dec 2022
Delving into Out-of-Distribution Detection with Vision-Language RepresentationsNeural Information Processing Systems (NeurIPS), 2022 Yifei Ming Ziyan Cai Jiuxiang Gu Yiyou Sun W. Li Shouqing Yang VLM OODD 181 215 0 24 Nov 2022
Invariant Learning via Diffusion Dreamed Distribution Shifts Priyatham Kattakinda Alexander Levine Soheil Feizi DiffM 98 10 0 18 Nov 2022
Developing a Series of AI Challenges for the United States Department of the Air ForceIEEE Conference on High Performance Extreme Computing (HPEC), 2022 V. Gadepally Greg Angelides Andrei Barbu Andrew Bowne L. Brattain ... Mark S. Veillette Matthew L. Weiss Allan B. Wollaber S. Yuditskaya J. Kepner AI4CE 98 6 0 14 Jul 2022
When does Bias Transfer in Transfer Learning? Hadi Salman Saachi Jain Andrew Ilyas Logan Engstrom Eric Wong Aleksander Madry 108 41 0 06 Jul 2022
Shape-guided Object Inpainting Yu Zeng Zhe Lin Vishal M. Patel 3DPC 97 9 0 16 Apr 2022
Background Invariant Classification on Infrared Imagery by Data Efficient Training and Reducing Bias in CNNs Maliha Arif Calvin Yong Abhijit Mahalanobis 46 2 0 22 Jan 2022
Fighting Fire with Fire: Contrastive Debiasing without Bias-free Data via Generative Bias-transformation Yeonsung Jung Hajin Shim J. Yang Eunho Yang 168 9 0 02 Dec 2021
Spoken ObjectNet: A Bias-Controlled Spoken Caption Dataset Ian Palmer Andrew Rouditchenko Andrei Barbu Boris Katz James R. Glass 76 4 0 14 Oct 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Shouqing Yang OODD 284 83 0 12 Sep 2021
Ultra-high Resolution Image Segmentation via Locality-aware Context Fusion and Alternating Local EnhancementInternational Journal of Computer Vision (IJCV), 2021 Wenxi Liu Qi Li Xin Lin Weixiang Yang Shengfeng He Yuanlong Yu 201 14 0 06 Sep 2021
The Foes of Neural Network's Data Efficiency Among Unnecessary Input Dimensions Vanessa D’Amario S. Srivastava Tomotake Sasaki Xavier Boix AAML 90 2 0 13 Jul 2021
3DB: A Framework for Debugging Computer Vision ModelsNeural Information Processing Systems (NeurIPS), 2021 Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor Aleksander Madry 160 44 0 07 Jun 2021
Distilling Object Detectors via Decoupled FeaturesComputer Vision and Pattern Recognition (CVPR), 2021 Jianyuan Guo Kai Han Yunhe Wang Han Wu Xinghao Chen Chunjing Xu Chang Xu 175 226 0 26 Mar 2021
Learning from Failure: Training Debiased Classifier from Biased Classifier J. Nam Hyuntak Cha SungSoo Ahn Jaeho Lee Jinwoo Shin 158 164 0 06 Jul 2020
Time for a Background Check! Uncovering the impact of Background Features on Deep Neural Networks Vikash Sehwag Rajvardhan Oak M. Chiang Prateek Mittal FAtt 80 7 0 24 Jun 2020
Noise or Signal: The Role of Image Backgrounds in Object Recognition Kai Y. Xiao Logan Engstrom Andrew Ilyas Aleksander Madry 259 423 0 17 Jun 2020
Shortcut Learning in Deep Neural NetworksNature Machine Intelligence (NMI), 2020 Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 634 2,309 0 16 Apr 2020
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 276 311 0 28 Nov 2018
Human peripheral blur is optimal for object recognition R. T. Pramod Harish Katti S. Arun 199 21 0 23 Jul 2018
Deep Nets: What have they ever done for Vision? Alan Yuille Chenxi Liu 332 106 0 10 May 2018
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation Qihang Yu Lingxi Xie Yan Wang Yuyin Zhou Elliot K. Fishman Alan Yuille MedIm 134 3 0 13 Sep 2017
What makes ImageNet good for transfer learning? Minyoung Huh Pulkit Agrawal Alexei A. Efros OOD SSeg VLM SSL 252 692 0 30 Aug 2016
Fully Convolutional Networks for Semantic Segmentation Evan Shelhamer Jonathan Long Trevor Darrell VOS SSeg 974 39,971 0 20 May 2016
DisturbLabel: Regularizing CNN on the Loss Layer Lingxi Xie Jingdong Wang Zhen Wei Meng Wang Qi Tian 198 258 0 30 Apr 2016
Identity Mappings in Deep Residual Networks Kaiming He Xinming Zhang Shaoqing Ren Jian Sun 952 10,705 0 16 Mar 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 3.2K 210,808 0 10 Dec 2015
Relaxed Multiple-Instance SVM with Application to Object Discovery Xinggang Wang Zhuotun Zhu Cong Yao X. Bai 104 88 0 05 Oct 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015 Shaoqing Ren Kaiming He Ross B. Girshick Jian Sun AIMat ObjD 1.2K 67,538 0 04 Jun 2015
Bilinear CNNs for Fine-grained Visual Recognition Tsung-Yu Lin Aruni RoyChowdhury Subhransu Maji 540 1,976 0 29 Apr 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 1.3K 45,118 0 11 Feb 2015
Object Detectors Emerge in Deep Scene CNNsInternational Conference on Learning Representations (ICLR), 2014 Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 315 1,308 0 22 Dec 2014
MatConvNet - Convolutional Neural Networks for MATLABACM Multimedia (ACM MM), 2014 Andrea Vedaldi Karel Lenc 440 2,968 0 15 Dec 2014
Deep Learning Representation using Autoencoder for 3D Shape RetrievalInternational Conference on Security, Pattern Analysis, and Cybernetics (ICSPAC), 2014 Zhuotun Zhu Xinggang Wang S. Bai Cong Yao X. Bai 3DPC 3DV 92 183 0 25 Sep 2014
Going Deeper with ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2014 Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 863 45,595 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image RecognitionInternational Conference on Learning Representations (ICLR), 2014 Karen Simonyan Andrew Zisserman FAtt MDE 2.9K 106,477 0 04 Sep 2014
ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision (IJCV), 2014 Olga Russakovsky Gaowen Liu Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 2.3K 40,998 0 01 Sep 2014
Caffe: Convolutional Architecture for Fast Feature EmbeddingACM Multimedia (ACM MM), 2014 Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross B. Girshick S. Guadarrama Trevor Darrell VLM BDL 3DV 731 14,792 0 20 Jun 2014
Return of the Devil in the Details: Delving Deep into Convolutional NetsBritish Machine Vision Conference (BMVC), 2014 Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 474 3,470 0 14 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition A. Razavian Hossein Azizpour Josephine Sullivan S. Carlsson 329 5,031 0 23 Mar 2014
Visualizing and Understanding Convolutional NetworksEuropean Conference on Computer Vision (ECCV), 2013 Matthew D. Zeiler Rob Fergus FAtt SSL 854 16,464 0 12 Nov 2013
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 898 27,680 0 11 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionInternational Conference on Machine Learning (ICML), 2013 Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 385 5,038 0 06 Oct 2013