{"list":"other","total":76,"rows":[{"id":"2304.02643","title":"Segment Anything","created":"2023-04-05","cited_by_count":8234},{"id":"1703.06870","title":"Mask R-CNN","created":"2017-03-20","cited_by_count":7277},{"id":"1604.01685","title":"The Cityscapes Dataset for Semantic Urban Scene Understanding","created":"2016-04-06","cited_by_count":4444},{"id":"1802.02611","title":"Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation","created":"2018-02-07","cited_by_count":3223},{"id":"2105.15203","title":"SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers","created":"2021-05-31","cited_by_count":2940},{"id":"1711.03938","title":"CARLA: An Open Urban Driving Simulator","created":"2017-11-10","cited_by_count":2449},{"id":"2102.12122","title":"Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions","created":"2021-02-24","cited_by_count":1962},{"id":"1908.07919","title":"Deep High-Resolution Representation Learning for Visual Recognition","created":"2019-08-20","cited_by_count":1420},{"id":"1801.00868","title":"Panoptic Segmentation","created":"2018-01-03","cited_by_count":802},{"id":"2109.13410","title":"KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D","created":"2021-09-28","cited_by_count":575},{"id":"2111.11418","title":"MetaFormer Is Actually What You Need for Vision","created":"2021-11-22","cited_by_count":524},{"id":"1908.09822","title":"Confidence Regularized Self-Training","created":"2019-08-26","cited_by_count":419},{"id":"1910.04751","title":"Panoptic-DeepLab","created":"2019-10-10","cited_by_count":363},{"id":"2111.14887","title":"DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation","created":"2021-11-29","cited_by_count":300},{"id":"1809.09478","title":"Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation","created":"2018-09-25","cited_by_count":295},{"id":"2209.08575","title":"SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation","created":"2022-09-18","cited_by_count":252},{"id":"2007.08702","title":"DACS: Domain Adaptation via Cross-domain Mixed Sampling","created":"2020-07-17","cited_by_count":226},{"id":"2212.01322","title":"MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation","created":"2022-12-02","cited_by_count":178},{"id":"2204.13132","title":"HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation","created":"2022-04-27","cited_by_count":164},{"id":"1407.1808","title":"Simultaneous Detection and Segmentation","created":"2014-07-07","cited_by_count":159},{"id":"1905.01489","title":"WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving","created":"2019-05-04","cited_by_count":144},{"id":"2204.12451","title":"Understanding The Robustness in Vision Transformers","created":"2022-04-26","cited_by_count":144},{"id":"2003.08040","title":"Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation","created":"2020-03-18","cited_by_count":126},{"id":"1902.04502","title":"Fast-SCNN: Fast Semantic Segmentation Network","created":"2019-02-12","cited_by_count":125},{"id":"2103.12340","title":"Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers","created":"2021-03-23","cited_by_count":104},{"id":"1509.01329","title":"Semantic Amodal Segmentation","created":"2015-09-04","cited_by_count":103},{"id":"2203.09283","title":"PanoFormer: Panorama Transformer for Indoor 360 Depth Estimation","created":"2022-03-17","cited_by_count":95},{"id":"2103.16765","title":"Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation","created":"2021-03-31","cited_by_count":83},{"id":"2203.01452","title":"Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation","created":"2022-03-02","cited_by_count":72},{"id":"1604.08202","title":"Amodal Instance Segmentation","created":"2016-04-27","cited_by_count":63},{"id":"1804.08864","title":"Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation","created":"2018-04-24","cited_by_count":62},{"id":"2206.07704","title":"Waymo Open Dataset: Panoramic Video Panoptic Segmentation","created":"2022-06-15","cited_by_count":58},{"id":"2103.05687","title":"Capturing Omni-Range Context for Omnidirectional Segmentation","created":"2021-03-09","cited_by_count":50},{"id":"2303.14360","title":"Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation","created":"2023-03-25","cited_by_count":47},{"id":"2207.11860","title":"Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation","created":"2022-07-25","cited_by_count":46},{"id":"2012.05598","title":"Amodal Segmentation Based on Visible Region Segmentation and Shape Prior","created":"2020-12-10","cited_by_count":43},{"id":"2109.11103","title":"Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling","created":"2021-09-23","cited_by_count":43},{"id":"2205.05570","title":"Review on Panoramic Imaging and Its Applications in Scene Understanding","created":"2022-05-11","cited_by_count":43},{"id":"1412.1283","title":"Convolutional Feature Masking for Joint Object and Stuff Segmentation","created":"2014-12-03","cited_by_count":41},{"id":"2202.11542","title":"Amodal Panoptic Segmentation","created":"2022-02-23","cited_by_count":38},{"id":"2205.10468","title":"Deep Learning for Omnidirectional Vision: A Survey and New Perspectives","created":"2022-05-21","cited_by_count":38},{"id":"2308.05493","title":"Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation","created":"2023-08-10","cited_by_count":38},{"id":"2108.06383","title":"DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange","created":"2021-08-13","cited_by_count":36},{"id":"2210.06323","title":"AISFormer: Amodal Instance Segmentation with Transformer","created":"2022-10-12","cited_by_count":35},{"id":"2110.11062","title":"Transfer beyond the Field of View: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation","created":"2021-10-21","cited_by_count":34},{"id":"2108.10743","title":"DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization","created":"2021-08-24","cited_by_count":33},{"id":"1906.05896","title":"Learning Instance Occlusion for Panoptic Segmentation","created":"2019-06-13","cited_by_count":30},{"id":"1909.07721","title":"DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing","created":"2019-09-17","cited_by_count":30},{"id":"2010.13175","title":"Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model","created":"2020-10-25","cited_by_count":29},{"id":"2308.16825","title":"Coarse-to-Fine Amodal Segmentation with Shape Prior","created":"2023-08-31","cited_by_count":29},{"id":"2302.03453","title":"OSRT: Omnidirectional Image Super-Resolution with Distortion-aware Transformer","created":"2023-02-07","cited_by_count":26},{"id":"2306.03403","title":"SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation","created":"2023-06-06","cited_by_count":26},{"id":"2002.03736","title":"Universal Semantic Segmentation for Fisheye Urban Driving Images","created":"2020-01-31","cited_by_count":25},{"id":"2003.14031","title":"BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation","created":"2020-03-31","cited_by_count":25},{"id":"2012.02107","title":"Robust Instance Segmentation through Reasoning about Multi-Object Occlusion","created":"2020-12-03","cited_by_count":23},{"id":"2103.00868","title":"Panoramic Panoptic Segmentation: Towards Complete Surrounding Understanding via Unsupervised Contrastive Learning","created":"2021-03-01","cited_by_count":23},{"id":"2205.14637","title":"Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation","created":"2022-05-29","cited_by_count":21},{"id":"2308.14726","title":"PanoSwin: a Pano-style Swin Transformer for Panorama Understanding","created":"2023-08-28","cited_by_count":20},{"id":"2305.09078","title":"PanelNet: Understanding 360 Indoor Environment via Panel Representation","created":"2023-05-16","cited_by_count":19},{"id":"2207.02062","title":"Image Amodal Completion: A Survey","created":"2022-07-05","cited_by_count":18},{"id":"2303.11910","title":"360BEV: Panoramic Semantic Mapping for Indoor Bird's-Eye View","created":"2023-03-21","cited_by_count":18},{"id":"2308.09369","title":"Single Frame Semantic Segmentation Using Multi-Modal Spherical Images","created":"2023-08-18","cited_by_count":18},{"id":"2304.14291","title":"EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation","created":"2023-04-27","cited_by_count":17},{"id":"1905.12898","title":"Learning Semantics-aware Distance Map with Semantics Layering Network for Amodal Instance Segmentation","created":"2019-05-30","cited_by_count":16},{"id":"2309.06891","title":"Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit?","created":"2023-09-13","cited_by_count":16},{"id":"1909.00532","title":"Semantic Segmentation of Panoramic Images Using a Synthetic Dataset","created":"2019-09-02","cited_by_count":15},{"id":"2206.10711","title":"Panoramic Panoptic Segmentation: Insights Into Surrounding Parsing for Mobile Agents via Unsupervised Contrastive Learning","created":"2022-06-21","cited_by_count":14},{"id":"2309.06547","title":"AmodalSynthDrive: A Synthetic Amodal Perception Dataset for Autonomous Driving","created":"2023-09-12","cited_by_count":14},{"id":"2306.12992","title":"Minimalist and High-Quality Panoramic Imaging with PSF-aware Transformers","created":"2023-06-22","cited_by_count":13},{"id":"2206.00527","title":"Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline","created":"2022-06-01","cited_by_count":12},{"id":"2207.02437","title":"Complementary Bi-directional Feature Compression for Indoor 360{\\deg} Semantic Segmentation with Self-distillation","created":"2022-07-06","cited_by_count":12},{"id":"2309.10815","title":"PanopticNeRF-360: Panoramic 3D-to-2D Label Transfer in Urban Scenes","created":"2023-09-19","cited_by_count":10},{"id":"2206.06070","title":"Annular Computational Imaging: Capture Clear Panoramic Images through Simple Lens","created":"2022-06-13","cited_by_count":9},{"id":"2309.13248","title":"Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation","created":"2023-09-23","cited_by_count":9},{"id":"2401.01642","title":"BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion","created":"2024-01-03","cited_by_count":9},{"id":"2303.13842","title":"FishDreamer: Towards Fisheye Semantic Completion via Unified Image Outpainting and Segmentation","created":"2023-03-24","cited_by_count":6}],"next_cursor":null}