How hard can it be? Estimating the difficulty of visual search in an image

23 May 2017

Papers citing "How hard can it be? Estimating the difficulty of visual search in an image"

50 / 63 papers shown

Title
Predicting Reaction Time to Comprehend Scenes with Foveated Scene Understanding Maps Ziqi Wen Jonathan Skaza Shravan Murlidaran William Y. Wang Miguel P. Eckstein 27 0 0 19 May 2025
Easing Optimization Paths: a Circuit Perspective Ambroise Odonnat Wassim Bouaziz Vivien A. Cabannes 48 0 0 04 Jan 2025
RealCustom++: Representing Images as Real-Word for Real-Time Customization Zhendong Mao Mengqi Huang Fei Ding Mingcong Liu Qian He Xiaojun Chang DiffM 84 6 0 03 Jan 2025
Self-Paced Learning Strategy with Easy Sample Prior Based on Confidence for the Flying Bird Object Detection Model Training Zi-Wei Sun Ze-Xi Hua Heng-Chao Li Yan Li 69 0 0 09 Dec 2024
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation Rohith Peddi Saurabh Ayush Abhay Shrivastava Parag Singla Vibhav Gogate 87 0 0 20 Nov 2024
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits Adit Jain Soumyabrata Pal Sunav Choudhary Ramasuri Narayanam Vikram Krishnamurthy 28 1 0 26 Oct 2024
Preview-based Category Contrastive Learning for Knowledge Distillation Muhe Ding Jianlong Wu Xue Dong Xiaojie Li Pengda Qin Tian Gan Liqiang Nie VLM 39 0 0 18 Oct 2024
CBM: Curriculum by Masking Andrei Jarca Florinel-Alin Croitoru Radu Tudor Ionescu 43 0 0 06 Jul 2024
CTBENCH: A Library and Benchmark for Certified Training Yuhao Mao Stefan Balauca Martin Vechev OOD 49 5 0 07 Jun 2024
EfficientTrain++: Generalized Curriculum Learning for Efficient Visual Backbone Training Yulin Wang Yang Yue Rui Lu Yizeng Han Shiji Song Gao Huang VLM 69 12 0 14 May 2024
A Lightweight Measure of Classification Difficulty from Application Dataset Characteristics Bryan Bo Cao Abhinav Sharma Lawrence O'Gorman Michael J. Coss Shubham Jain 44 1 0 09 Apr 2024
Intent-based Prompt Calibration: Enhancing prompt optimization with synthetic boundary cases Elad Levi Eli Brosh Matan Friedmann 27 8 0 05 Feb 2024
Curriculum for Crowd Counting -- Is it Worthy? Muhammad Asif Khan Hamid Menouar R. Hamila 28 1 0 15 Jan 2024
CL-MAE: Curriculum-Learned Masked Autoencoders Neelu Madan Nicolae-Cătălin Ristea Kamal Nasrollahi T. Moeslund Radu Tudor Ionescu 26 10 0 31 Aug 2023
Reverse Stable Diffusion: What prompt was used to generate this image? Florinel-Alin Croitoru Vlad Hondru Radu Tudor Ionescu M. Shah VLM DiffM 44 6 0 02 Aug 2023
Coaching a Teachable Student Jimuyang Zhang Zanming Huang Eshed Ohn-Bar 65 21 0 16 Jun 2023
Stochastic Re-weighted Gradient Descent via Distributionally Robust Optimization Ramnath Kumar Kushal Majmundar Dheeraj M. Nagaraj A. Suggala ODL 37 6 0 15 Jun 2023
Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts Dongyoon Han Junsuk Choe Dante Chun John Joon Young Chung Minsuk Chang Sangdoo Yun Jean Y. Song Seong Joon Oh OOD 444 4 1 30 Mar 2023
Information Maximizing Curriculum: A Curriculum-Based Approach for Imitating Diverse Skills Denis Blessing Onur Celik Xiaogang Jia Moritz Reuss M. Li Rudolf Lioutikov Gerhard Neumann 36 0 0 27 Mar 2023
iQPP: A Benchmark for Image Query Performance Prediction Eduard Poesina Radu Tudor Ionescu Josiane Mothe VLM 16 6 0 20 Feb 2023
Confidence-Aware Calibration and Scoring Functions for Curriculum Learning Shuang Ao Stefan Rueger Advaith Siddharthan UQCV 36 0 0 29 Jan 2023
RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning K. Liao Lang Nie Chunyu Lin Zishuo Zheng Yao Zhao 41 11 0 04 Jan 2023
Learning to Learn: How to Continuously Teach Humans and Machines Parantak Singh You Li Ankur Sikarwar Weixian Lei Daniel Gao Morgan B. Talbot Ying Sun Mike Zheng Shou Gabriel Kreiman Mengmi Zhang CLL 20 6 0 28 Nov 2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang Yang Yue Rui Lu Tian-De Liu Zhaobai Zhong S. Song Gao Huang 42 28 0 17 Nov 2022
Task Phasing: Automated Curriculum Learning from Demonstrations Vaibhav Bajaj Guni Sharon Peter Stone 34 8 0 20 Oct 2022
Temporal Contrastive Learning with Curriculum Shuvendu Roy Ali Etemad 43 3 0 02 Sep 2022
Difficulty-Aware Simulator for Open Set Recognition WonJun Moon Junho Park Hyun Seok Seong Cheol-Ho Cho Jae-Pil Heo 29 31 0 20 Jul 2022
A Study on the Predictability of Sample Learning Consistency Alain Raymond-Sáez J. Hurtado Alvaro Soto 25 0 0 07 Jul 2022
Learning Rate Curriculum Florinel-Alin Croitoru Nicolae-Cătălin Ristea Radu Tudor Ionescu N. Sebe 22 9 0 18 May 2022
Learning to Solve Travelling Salesman Problem with Hardness-adaptive Curriculum Zeyang Zhang Ziwei Zhang Xin Eric Wang Wenwu Zhu 26 42 0 07 Apr 2022
Was that so hard? Estimating human classification difficulty Morten Rieger Hannemose Josefine Vilsbøll Sundgaard N. K. Ternov Rasmus Paulsen Anders Christensen 20 4 0 22 Mar 2022
Example Perplexity N. Zhang Weiyan Xie Zhi Lin Guanfang Dong Xiao-hui Li Caleb Chen Cao Yunpeng Wang AAML 11 0 0 16 Mar 2022
Embracing the Dark Knowledge: Domain Generalization Using Regularized Knowledge Distillation Yufei Wang Haoliang Li Lap-pui Chau Alex C. Kot FedML 21 40 0 06 Jul 2021
When Deep Classifiers Agree: Analyzing Correlations between Learning Order and Image Statistics Iuliia Pliushch Martin Mundt Nicolas Lupp Visvanathan Ramesh 13 12 0 19 May 2021
Sample selection for efficient image annotation Bishwo Adhikari Esa Rahtu H. Huttunen 19 7 0 10 May 2021
Unsupervised Medical Image Alignment with Curriculum Learning Mihail Burduja Radu Tudor Ionescu 35 12 0 20 Feb 2021
Membership Inference Attacks are Easier on Difficult Problems Avital Shafran Shmuel Peleg Yedid Hoshen MIACV 22 16 0 15 Feb 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 79 343 0 25 Jan 2021
A Survey on Curriculum Learning Xin Eric Wang Yudong Chen Wenwu Zhu SyDa 32 22 0 25 Oct 2020
Curriculum Learning with Diversity for Supervised Computer Vision Tasks Petru Soviany 19 10 0 22 Sep 2020
Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors Cezara Benegui Radu Tudor Ionescu AAML 11 9 0 02 Sep 2020
Investigating Class-level Difficulty Factors in Multi-label Classification Problems Mark A Marsden Kevin McGuinness Joseph Antony Haolin Wei M. Redzic Jian Tang Zhilan Hu Alan F. Smeaton Noel E. O'Connor 9 4 0 01 May 2020
Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking Gustavo Penha C. Hauff 19 24 0 18 Dec 2019
Convolutional Neural Networks for User Identificationbased on Motion Sensors Represented as Image Cezara Benegui Radu Tudor Ionescu HAI 6 24 0 08 Dec 2019
Curriculum Self-Paced Learning for Cross-Domain Object Detection Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe OOD ObjD 24 71 0 15 Nov 2019
Image Difficulty Curriculum for Generative Adversarial Networks (CuGAN) Petru Soviany Claudiu Ardei Radu Tudor Ionescu Marius Leordeanu GAN 27 48 0 20 Oct 2019
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization Dianbo Liu Yuanwei Wu Wenchi Ma Guanghui Wang 28 13 0 04 Oct 2019
Continuous Trade-off Optimization between Fast and Accurate Deep Face Detectors Petru Soviany Radu Tudor Ionescu CVBM 3DH 22 4 0 27 Nov 2018
CocoNet: A deep neural network for mapping pixel coordinates to color values P. Bricman Radu Tudor Ionescu 14 15 0 29 May 2018
Zigzag Learning for Weakly Supervised Object Detection Xiaopeng Zhang Jiashi Feng H. Xiong Qi Tian WSOD 16 113 0 25 Apr 2018