{"list":"other","total":52,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60443},{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52148},{"id":"1405.0312","title":"Microsoft COCO: Common Objects in Context","created":"2014-05-01","cited_by_count":17629},{"id":"2005.12872","title":"End-to-End Object Detection with Transformers","created":"2020-05-26","cited_by_count":7416},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7282},{"id":"1612.03144","title":"Feature Pyramid Networks for Object Detection","created":"2016-12-09","cited_by_count":5039},{"id":"1411.4038","title":"Fully Convolutional Networks for Semantic Segmentation","created":"2014-11-14","cited_by_count":4862},{"id":"1606.00915","title":"DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs","created":"2016-06-02","cited_by_count":3244},{"id":"1802.02611","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","created":"2018-02-07","cited_by_count":3226},{"id":"1612.01105","title":"Pyramid Scene Parsing Network","created":"2016-12-04","cited_by_count":2483},{"id":"1711.07971","title":"Non-local Neural Networks","created":"2017-11-21","cited_by_count":2293},{"id":"1706.05587","title":"Rethinking Atrous Convolution for Semantic Image Segmentation","created":"2017-06-17","cited_by_count":2170},{"id":"1703.06211","title":"Deformable Convolutional Networks","created":"2017-03-17","cited_by_count":1488},{"id":"1801.00868","title":"Panoptic Segmentation","created":"2018-01-03","cited_by_count":805},{"id":"1811.11721","title":"CCNet: Criss-Cross Attention for Semantic Segmentation","created":"2018-11-28","cited_by_count":718},{"id":"1901.02446","title":"Panoptic Feature Pyramid Networks","created":"2019-01-08","cited_by_count":646},{"id":"1910.04751","title":"Panoptic-DeepLab","created":"2019-10-10","cited_by_count":363},{"id":"2003.07853","title":"Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation","created":"2020-03-17","cited_by_count":326},{"id":"2003.05664","title":"Conditional Convolutions for Instance Segmentation","created":"2020-03-12","cited_by_count":314},{"id":"1807.03247","title":"An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution","created":"2018-07-09","cited_by_count":308},{"id":"1912.04488","title":"SOLO: Segmenting Objects by Locations","created":"2019-12-10","cited_by_count":289},{"id":"1904.04971","title":"CondConv: Conditionally Parameterized Convolutions for Efficient Inference","created":"2019-04-10","cited_by_count":273},{"id":"1611.05424","title":"Associative Embedding: End-to-End Learning for Joint Detection and Grouping","created":"2016-11-16","cited_by_count":212},{"id":"1909.13226","title":"PolarMask: Single Shot Instance Segmentation with Polar Representation","created":"2019-09-29","cited_by_count":188},{"id":"1901.03784","title":"UPSNet: A Unified Panoptic Segmentation Network","created":"2019-01-12","cited_by_count":175},{"id":"1905.01220","title":"Seamless Scene Segmentation","created":"2019-05-03","cited_by_count":112},{"id":"1903.12174","title":"TensorMask: A Foundation for Dense Object Segmentation","created":"2019-03-28","cited_by_count":101},{"id":"2012.00720","title":"Fully Convolutional Networks for Panoptic Segmentation","created":"2020-12-01","cited_by_count":92},{"id":"1902.09852","title":"Associatively Segmenting Instances and Semantics in Point Clouds","created":"2019-02-26","cited_by_count":86},{"id":"1812.03904","title":"Attention-guided Unified Network for Panoptic Segmentation","created":"2018-12-10","cited_by_count":71},{"id":"1909.07829","title":"AdaptIS: Adaptive Instance Selection Network","created":"2019-09-17","cited_by_count":64},{"id":"1902.05093","title":"DeeperLab: Single-Shot Image Parser","created":"2019-02-13","cited_by_count":63},{"id":"1910.12037","title":"Region Mutual Information Loss for Semantic Segmentation","created":"2019-10-26","cited_by_count":49},{"id":"1903.05027","title":"An End-to-End Network for Panoptic Segmentation","created":"2019-03-12","cited_by_count":46},{"id":"1908.04067","title":"Explicit Shape Encoding for Real-Time Instance Segmentation","created":"2019-08-12","cited_by_count":41},{"id":"2001.04982","title":"Unifying Training and Inference for Panoptic Segmentation","created":"2020-01-14","cited_by_count":37},{"id":"2003.10152","title":"SOLOv2: Dynamic and Fast Instance Segmentation","created":"2020-03-23","cited_by_count":37},{"id":"1912.01202","title":"Real-Time Panoptic Segmentation from Dense Detections","created":"2019-12-03","cited_by_count":31},{"id":"1906.05896","title":"Learning Instance Occlusion for Panoptic Segmentation","created":"2019-06-13","cited_by_count":30},{"id":"1911.07527","title":"SOGNet: Scene Overlap Graph Network for Panoptic Segmentation","created":"2019-11-18","cited_by_count":26},{"id":"2004.06272","title":"Bidirectional Graph Reasoning Network for Panoptic Segmentation","created":"2020-04-14","cited_by_count":26},{"id":"2003.14031","title":"BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation","created":"2020-03-31","cited_by_count":25},{"id":"1912.01954","title":"EmbedMask: Embedding Coupling for One-stage Instance Segmentation","created":"2019-12-04","cited_by_count":15},{"id":"2004.01849","title":"Pixel Consensus Voting for Panoptic Segmentation","created":"2020-04-04","cited_by_count":10},{"id":"2009.13342","title":"Learning Category- and Instance-Aware Pixel Embedding for Fast Panoptic Segmentation","created":"2020-09-28","cited_by_count":9},{"id":"1910.08711","title":"Correlation Maximized Structural Similarity Loss for Semantic Segmentation","created":"2019-10-19","cited_by_count":8},{"id":"2003.10142","title":"EPSNet: Efficient Panoptic Segmentation Network with Cross-layer Attention Fusion","created":"2020-03-23","cited_by_count":6},{"id":"2008.00192","title":"PanoNet: Real-time Panoptic Segmentation through Position-Sensitive Feature Embedding","created":"2020-08-01","cited_by_count":5},{"id":"1807.07044","title":"Location Augmentation for CNN","created":"2018-07-18","cited_by_count":3},{"id":"1907.07011","title":"Improving Semantic Segmentation via Dilated Affinity","created":"2019-07-16","cited_by_count":3},{"id":"2012.03603","title":"Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation","created":"2020-12-07","cited_by_count":3},{"id":"2008.00810","title":"CASNet: Common Attribute Support Network for image instance and panoptic segmentation","created":"2020-07-17","cited_by_count":2}],"next_cursor":null}