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S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration

Feb 17, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides

* Technical report, 10 pages. Self-supervised binary neural networks using distillation loss (5.5~15% improvement over contrastive baseline) 

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Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning

Feb 08, 2021
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng

* AAAI 2021. A search based fine-tuning strategy for few-shot learning 

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A Multi-task Contextual Atrous Residual Network for Brain Tumor Detection & Segmentation

Dec 03, 2020
Ngan Le, Kashu Yamazaki, Dat Truong, Kha Gia Quach, Marios Savvides

* Accepted in ICPR 2020 

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Online Ensemble Model Compression using Knowledge Distillation

Nov 15, 2020
Devesh Walawalkar, Zhiqiang Shen, Marios Savvides

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MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks

Sep 17, 2020
Zhiqiang Shen, Marios Savvides

* A short technical report. Code and pre-trained models are available at: 

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Binarizing MobileNet via Evolution-based Searching

May 15, 2020
Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen

* Accepted by CVPR2020 

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Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification

Apr 05, 2020
Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides

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Rethinking Image Mixture for Unsupervised Visual Representation Learning

Mar 11, 2020
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell

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ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

Mar 07, 2020
Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng

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Solving Missing-Annotation Object Detection with Background Recalibration Loss

Feb 12, 2020
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides

* 5 pages. Paper has been accepted by ICASSP 2020 for presentation in a lecture (oral) session 

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Soft Anchor-Point Object Detection

Nov 27, 2019
Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides

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Towards a Hypothesis on Visual Transformation based Self-Supervision

Nov 24, 2019
Dipan K. Pal, Sreena Nallamothu, Marios Savvides

* Draft 

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SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses

Nov 21, 2019
Zhiqiang Shen, Harsh Maheshwari, Weichen Yao, Marios Savvides

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Learning Non-Parametric Invariances from Data with Permanent Random Connectomes

Nov 13, 2019
Dipan K. Pal, Marios Savvides

* Preprint (accepted at NeurIPS SVRHM 2019) 

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Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement

Aug 22, 2019
Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides

* This is an extended version of our previous conference paper arXiv:1812.02425 

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MoBiNet: A Mobile Binary Network for Image Classification

Jul 31, 2019
Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen

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Proximal Splitting Networks for Image Restoration

Mar 17, 2019
Raied Aljadaany, Dipan K. Pal, Marios Savvides

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Feature Selective Anchor-Free Module for Single-Shot Object Detection

Mar 02, 2019
Chenchen Zhu, Yihui He, Marios Savvides

* CVPR 2019 

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RankGAN: A Maximum Margin Ranking GAN for Generating Faces

Dec 19, 2018
Rahul Dey, Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides

* Best Student Paper Award at Asian Conference on Computer Vision (ACCV), 2018 at Perth, Australia. Includes main paper and supplementary material. Total 32 pages including references 

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Deep Recurrent Level Set for Segmenting Brain Tumors

Oct 10, 2018
T. Hoang Ngan Le, Raajitha Gummadi, Marios Savvides

* booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2018", year="2018", publisher="Springer International Publishing", 

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Softer-NMS: Rethinking Bounding Box Regression for Accurate Object Detection

Sep 23, 2018
Yihui He, Xiangyu Zhang, Marios Savvides, Kris Kitani

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Non-Parametric Transformation Networks

Sep 08, 2018
Dipan K. Pal, Marios Savvides

* Preprint only 

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Learning from Longitudinal Face Demonstration - Where Tractable Deep Modeling Meets Inverse Reinforcement Learning

Sep 04, 2018
Chi Nhan Duong, Kha Gia Quach, Khoa Luu, T. Hoang Ngan Le, Marios Savvides, Tien D. Bui

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Perturbative Neural Networks

Jun 05, 2018
Felix Juefei-Xu, Vishnu Naresh Boddeti, Marios Savvides

* To appear in CVPR 2018. 

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Ring loss: Convex Feature Normalization for Face Recognition

Feb 28, 2018
Yutong Zheng, Dipan K. Pal, Marios Savvides

* Accepted at CVPR 2018 

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Seeing Small Faces from Robust Anchor's Perspective

Feb 25, 2018
Chenchen Zhu, Ran Tao, Khoa Luu, Marios Savvides

* CVPR 2018 

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