{"list":"other","total":52,"rows":[{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"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":"1409.0575","title":"ImageNet Large Scale Visual Recognition Challenge","created":"2014-09-01","cited_by_count":8498},{"id":"2005.12872","title":"End-to-End Object Detection with Transformers","created":"2020-05-26","cited_by_count":7414},{"id":"1706.04599","title":"On Calibration of Modern Neural Networks","created":"2017-06-14","cited_by_count":4960},{"id":"1604.01685","title":"The Cityscapes Dataset for Semantic Urban Scene Understanding","created":"2016-04-06","cited_by_count":4444},{"id":"2010.04159","title":"Deformable DETR: Deformable Transformers for End-to-End Object Detection","created":"2020-10-08","cited_by_count":3422},{"id":"1512.02325","title":"SSD: Single Shot MultiBox Detector","created":"2015-12-08","cited_by_count":3130},{"id":"1904.01355","title":"FCOS: Fully Convolutional One-Stage Object Detection","created":"2019-04-02","cited_by_count":1577},{"id":"1902.09630","title":"Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression","created":"2019-02-25","cited_by_count":1368},{"id":"1805.04687","title":"BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning","created":"2018-05-12","cited_by_count":1288},{"id":"1712.00726","title":"Cascade R-CNN: Delving into High Quality Object Detection","created":"2017-12-03","cited_by_count":1276},{"id":"1411.1792","title":"How transferable are features in deep neural networks?","created":"2014-11-06","cited_by_count":1225},{"id":"1610.02242","title":"Temporal Ensembling for Semi-Supervised Learning","created":"2016-10-07","cited_by_count":1057},{"id":"1803.01534","title":"Path Aggregation Network for Instance Segmentation","created":"2018-03-05","cited_by_count":798},{"id":"1808.01244","title":"CornerNet: Detecting Objects as Paired Keypoints","created":"2018-08-03","cited_by_count":763},{"id":"1806.01768","title":"Evidential Deep Learning to Quantify Classification Uncertainty","created":"2018-06-05","cited_by_count":732},{"id":"2006.04388","title":"Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection","created":"2020-06-08","cited_by_count":409},{"id":"1708.07819","title":"Semantic Foggy Scene Understanding with Synthetic Data","created":"2017-08-25","cited_by_count":403},{"id":"1809.02165","title":"Deep Learning for Generic Object Detection: A Survey","created":"2018-09-06","cited_by_count":392},{"id":"1910.02600","title":"Deep Evidential Regression","created":"2019-10-07","cited_by_count":355},{"id":"2106.09018","title":"End-to-End Semi-Supervised Object Detection with Soft Teacher","created":"2021-06-16","cited_by_count":316},{"id":"1812.04798","title":"Strong-Weak Distribution Alignment for Adaptive Object Detection","created":"2018-12-12","cited_by_count":270},{"id":"2108.07755","title":"TOOD: Task-aligned One-stage Object Detection","created":"2021-08-17","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":"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":"2111.13216","title":"Cross-Domain Adaptive Teacher for Object Detection","created":"2021-11-25","cited_by_count":126},{"id":"2012.07923","title":"Improving model calibration with accuracy versus uncertainty optimization","created":"2020-12-14","cited_by_count":123},{"id":"2008.08115","title":"TIDE: A General Toolbox for Identifying Object Detection Errors","created":"2020-08-18","cited_by_count":114},{"id":"2008.08574","title":"Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector","created":"2020-08-19","cited_by_count":107},{"id":"2105.13502","title":"Unsupervised Domain Adaptation of Object Detectors: A Survey","created":"2021-05-27","cited_by_count":93},{"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":"2203.06398","title":"SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection","created":"2022-03-12","cited_by_count":74},{"id":"2206.06293","title":"Learning Domain Adaptive Object Detection with Probabilistic Teacher","created":"2022-06-13","cited_by_count":57},{"id":"2305.03034","title":"Contrastive Mean Teacher for Domain Adaptive Object Detectors","created":"2023-05-04","cited_by_count":53},{"id":"2208.11296","title":"Semi-Supervised and Unsupervised Deep Visual Learning: A Survey","created":"2022-08-24","cited_by_count":52},{"id":"2107.12636","title":"Exploring Sequence Feature Alignment for Domain Adaptive Detection Transformers","created":"2021-07-27","cited_by_count":49},{"id":"2207.02541","title":"Dense Teacher: Dense Pseudo-Labels for Semi-supervised Object Detection","created":"2022-07-06","cited_by_count":48},{"id":"2205.01291","title":"Cross Domain Object Detection by Target-Perceived Dual Branch Distillation","created":"2022-05-03","cited_by_count":46},{"id":"2110.01428","title":"Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection","created":"2021-10-04","cited_by_count":45},{"id":"2110.02578","title":"Decoupled Adaptation for Cross-Domain Object Detection","created":"2021-10-06","cited_by_count":37},{"id":"2204.05289","title":"Towards Online Domain Adaptive Object Detection","created":"2022-04-11","cited_by_count":36},{"id":"2203.16897","title":"Multi-Granularity Alignment Domain Adaptation for Object Detection","created":"2022-03-31","cited_by_count":29},{"id":"2303.12698","title":"Open Set Action Recognition via Multi-Label Evidential Learning","created":"2023-02-27","cited_by_count":26},{"id":"2103.17084","title":"DA-DETR: Domain Adaptive Detection Transformer with Information Fusion","created":"2021-03-31","cited_by_count":24},{"id":"2110.00249","title":"Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection","created":"2021-10-01","cited_by_count":24},{"id":"2204.14195","title":"Improving Transferability for Domain Adaptive Detection Transformers","created":"2022-04-29","cited_by_count":17},{"id":"2201.01929","title":"Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement","created":"2022-01-06","cited_by_count":15},{"id":"2310.15646","title":"Mean Teacher DETR with Masked Feature Alignment: A Robust Domain Adaptive Detection Transformer Framework","created":"2023-10-24","cited_by_count":13},{"id":"2303.14404","title":"Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection","created":"2023-03-25","cited_by_count":12},{"id":"2108.10809","title":"Reconcile Prediction Consistency for Balanced Object Detection","created":"2021-08-24","cited_by_count":11}],"next_cursor":null}