{"list":"other","total":56,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1609.02907","title":"Semi-Supervised Classification with Graph Convolutional Networks","created":"2016-09-09","cited_by_count":11361},{"id":"1506.01497","title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","created":"2015-06-04","cited_by_count":9639},{"id":"1602.05629","title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","created":"2016-02-17","cited_by_count":7669},{"id":"2005.12872","title":"End-to-End Object Detection with Transformers","created":"2020-05-26","cited_by_count":7414},{"id":"2001.08361","title":"Scaling Laws for Neural Language Models","created":"2020-01-23","cited_by_count":6586},{"id":"1612.03144","title":"Feature Pyramid Networks for Object Detection","created":"2016-12-09","cited_by_count":5036},{"id":"1506.02640","title":"You Only Look Once: Unified, Real-Time Object Detection","created":"2015-06-08","cited_by_count":4852},{"id":"1604.01685","title":"The Cityscapes Dataset for Semantic Urban Scene Understanding","created":"2016-04-06","cited_by_count":4444},{"id":"1512.02325","title":"SSD: Single Shot MultiBox Detector","created":"2015-12-08","cited_by_count":3130},{"id":"1610.05820","title":"Membership Inference Attacks against Machine Learning Models","created":"2016-10-18","cited_by_count":2281},{"id":"2001.07685","title":"FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence","created":"2020-01-21","cited_by_count":2085},{"id":"1409.7495","title":"Unsupervised Domain Adaptation by Backpropagation","created":"2014-09-26","cited_by_count":1917},{"id":"1702.05464","title":"Adversarial Discriminative Domain Adaptation","created":"2017-02-17","cited_by_count":1311},{"id":"1711.03213","title":"CyCADA: Cycle-Consistent Adversarial Domain Adaptation","created":"2017-11-08","cited_by_count":1082},{"id":"2002.08546","title":"Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation","created":"2020-02-20","cited_by_count":848},{"id":"1712.02560","title":"Maximum Classifier Discrepancy for Unsupervised Domain Adaptation","created":"2017-12-07","cited_by_count":683},{"id":"1803.03243","title":"Domain Adaptive Faster R-CNN for Object Detection in the Wild","created":"2018-03-08","cited_by_count":443},{"id":"1908.09822","title":"Confidence Regularized Self-Training","created":"2019-08-26","cited_by_count":419},{"id":"1901.00976","title":"Contrastive Adaptation Network for Unsupervised Domain Adaptation","created":"2019-01-04","cited_by_count":407},{"id":"1708.07819","title":"Semantic Foggy Scene Understanding with Synthetic Data","created":"2017-08-25","cited_by_count":403},{"id":"1602.04433","title":"Unsupervised Domain Adaptation with Residual Transfer Networks","created":"2016-02-14","cited_by_count":341},{"id":"1812.04798","title":"Strong-Weak Distribution Alignment for Adaptive Object Detection","created":"2018-12-12","cited_by_count":270},{"id":"2004.04393","title":"Universal Source-Free Domain Adaptation","created":"2020-04-09","cited_by_count":220},{"id":"1803.11365","title":"Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation","created":"2018-03-30","cited_by_count":218},{"id":"1610.01983","title":"Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?","created":"2016-10-06","cited_by_count":194},{"id":"1811.08585","title":"Progressive Feature Alignment for Unsupervised Domain Adaptation","created":"2018-11-21","cited_by_count":183},{"id":"1712.00479","title":"Image to Image Translation for Domain Adaptation","created":"2017-12-01","cited_by_count":171},{"id":"2003.00707","title":"Unbiased Mean Teacher for Cross-domain Object Detection","created":"2020-03-02","cited_by_count":159},{"id":"2110.03374","title":"Model Adaptation: Historical Contrastive Learning for Unsupervised Domain Adaptation without Source Data","created":"2021-10-07","cited_by_count":152},{"id":"2003.09152","title":"Exploring Categorical Regularization for Domain Adaptive Object Detection","created":"2020-03-20","cited_by_count":131},{"id":"2003.06297","title":"Harmonizing Transferability and Discriminability for Adapting Object Detectors","created":"2020-03-13","cited_by_count":126},{"id":"1905.05396","title":"Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection","created":"2019-05-14","cited_by_count":123},{"id":"2103.03571","title":"Cycle Self-Training for Domain Adaptation","created":"2021-03-05","cited_by_count":120},{"id":"1907.10343","title":"Multi-adversarial Faster-RCNN for Unrestricted Object Detection","created":"2019-07-24","cited_by_count":112},{"id":"1904.02361","title":"A Robust Learning Approach to Domain Adaptive Object Detection","created":"2019-04-04","cited_by_count":109},{"id":"2103.04224","title":"MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection","created":"2021-03-07","cited_by_count":106},{"id":"1909.00597","title":"Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection","created":"2019-09-02","cited_by_count":83},{"id":"2012.05400","title":"A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data","created":"2020-12-10","cited_by_count":79},{"id":"1711.08995","title":"Unsupervised Domain Adaptation with Similarity Learning","created":"2017-11-24","cited_by_count":73},{"id":"2206.06293","title":"Learning Domain Adaptive Object Detection with Probabilistic Teacher","created":"2022-06-13","cited_by_count":57},{"id":"2007.01571","title":"Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN","created":"2020-07-03","cited_by_count":56},{"id":"2203.15793","title":"Instance Relation Graph Guided Source-Free Domain Adaptive Object Detection","created":"2022-03-29","cited_by_count":55},{"id":"1911.07982","title":"Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling","created":"2019-11-18","cited_by_count":53},{"id":"2102.11614","title":"Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation","created":"2021-02-23","cited_by_count":47},{"id":"1911.10033","title":"Domain Adaptation for Object Detection via Style Consistency","created":"2019-11-22","cited_by_count":45},{"id":"2009.08119","title":"Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection","created":"2020-09-17","cited_by_count":44},{"id":"1911.06849","title":"Curriculum Self-Paced Learning for Cross-Domain Object Detection","created":"2019-11-15","cited_by_count":39},{"id":"2003.04132","title":"iFAN: Image-Instance Full Alignment Networks for Adaptive Object Detection","created":"2020-03-09","cited_by_count":35},{"id":"1907.08719","title":"Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night","created":"2019-07-19","cited_by_count":30},{"id":"2301.04265","title":"Adversarial Alignment for Source Free Object Detection","created":"2023-01-11","cited_by_count":25},{"id":"2001.02950","title":"Generative Pseudo-label Refinement for Unsupervised Domain Adaptation","created":"2020-01-09","cited_by_count":24},{"id":"2311.13930","title":"Periodically Exchange Teacher-Student for Source-Free Object Detection","created":"2023-11-23","cited_by_count":24},{"id":"2310.12705","title":"Exploiting Low-confidence Pseudo-labels for Source-free Object Detection","created":"2023-10-19","cited_by_count":13},{"id":"2212.05911","title":"Adaptive Self-Training for Object Detection","created":"2022-12-07","cited_by_count":4}],"next_cursor":null}