{"list":"other","total":51,"rows":[{"id":"1801.04381","title":"MobileNetV2: Inverted Residuals and Linear Bottlenecks","created":"2018-01-13","cited_by_count":4795},{"id":"2406.09414","title":"Depth Anything V2","created":"2024-06-13","cited_by_count":1422},{"id":"1512.02134","title":"A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation","created":"2015-12-07","cited_by_count":881},{"id":"1811.11168","title":"Deformable ConvNets v2: More Deformable, Better Results","created":"2018-11-27","cited_by_count":670},{"id":"1803.08669","title":"Pyramid Stereo Matching Network","created":"2018-03-23","cited_by_count":489},{"id":"1912.06378","title":"Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching","created":"2019-12-13","cited_by_count":417},{"id":"2404.15506","title":"Metric3Dv2: A Versatile Monocular Geometric Foundation Model for Zero-shot Metric Depth and Surface Normal Estimation","created":"2024-03-22","cited_by_count":395},{"id":"1703.04309","title":"End-to-End Learning of Geometry and Context for Deep Stereo Regression","created":"2017-03-13","cited_by_count":360},{"id":"2109.07547","title":"RAFT-Stereo: Multilevel Recurrent Field Transforms for Stereo Matching","created":"2021-09-15","cited_by_count":353},{"id":"2410.19115","title":"MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision","created":"2024-10-24","cited_by_count":299},{"id":"2211.05783","title":"Unifying Flow, Stereo and Depth Estimation","created":"2022-11-10","cited_by_count":275},{"id":"1904.06587","title":"GA-Net: Guided Aggregation Net for End-to-end Stereo Matching","created":"2019-04-13","cited_by_count":244},{"id":"1903.04025","title":"Group-wise Correlation Stereo Network","created":"2019-03-10","cited_by_count":235},{"id":"2004.09548","title":"AANet: Adaptive Aggregation Network for Efficient Stereo Matching","created":"2020-04-20","cited_by_count":202},{"id":"2203.11483","title":"Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation","created":"2022-03-22","cited_by_count":197},{"id":"2303.06615","title":"Iterative Geometry Encoding Volume for Stereo Matching","created":"2023-03-12","cited_by_count":190},{"id":"2501.09898","title":"FoundationStereo: Zero-Shot Stereo Matching","created":"2025-01-17","cited_by_count":173},{"id":"2211.10408","title":"CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow","created":"2022-11-18","cited_by_count":166},{"id":"2104.04314","title":"CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching","created":"2021-04-09","cited_by_count":154},{"id":"2203.02146","title":"Attention Concatenation Volume for Accurate and Efficient Stereo Matching","created":"2022-03-04","cited_by_count":130},{"id":"2007.12140","title":"HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching","created":"2020-07-23","cited_by_count":120},{"id":"1909.05845","title":"DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch","created":"2019-09-12","cited_by_count":114},{"id":"2403.00486","title":"Selective-Stereo: Adaptive Frequency Information Selection for Stereo Matching","created":"2024-03-01","cited_by_count":99},{"id":"2108.09770","title":"MobileStereoNet: Towards Lightweight Deep Networks for Stereo Matching","created":"2021-08-22","cited_by_count":82},{"id":"2412.14015","title":"Prompting Depth Anything for 4K Resolution Accurate Metric Depth Estimation","created":"2024-12-18","cited_by_count":74},{"id":"2006.12797","title":"PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching","created":"2020-06-23","cited_by_count":62},{"id":"2209.12699","title":"Accurate and Efficient Stereo Matching via Attention Concatenation Volume","created":"2022-09-23","cited_by_count":59},{"id":"2409.00638","title":"IGEV++: Iterative Multi-range Geometry Encoding Volumes for Stereo Matching","created":"2024-09-01","cited_by_count":59},{"id":"1909.03751","title":"Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching","created":"2019-09-09","cited_by_count":55},{"id":"2501.09466","title":"DEFOM-Stereo: Depth Foundation Model Based Stereo Matching","created":"2025-01-16","cited_by_count":52},{"id":"2404.06842","title":"MoCha-Stereo: Motif Channel Attention Network for Stereo Matching","created":"2024-04-10","cited_by_count":48},{"id":"2108.05773","title":"Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation","created":"2021-08-12","cited_by_count":47},{"id":"2412.04472","title":"Stereo Anywhere: Robust Zero-Shot Deep Stereo Matching Even Where Either Stereo or Mono Fail","created":"2024-12-05","cited_by_count":47},{"id":"2101.01601","title":"Bilateral Grid Learning for Stereo Matching Networks","created":"2021-01-01","cited_by_count":46},{"id":"2403.11193","title":"Neural Markov Random Field for Stereo Matching","created":"2024-03-17","cited_by_count":40},{"id":"2307.14071","title":"Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching","created":"2023-07-26","cited_by_count":37},{"id":"2112.01011","title":"Local Similarity Pattern and Cost Self-Reassembling for Deep Stereo Matching Networks","created":"2021-12-02","cited_by_count":32},{"id":"2003.10758","title":"FADNet: A Fast and Accurate Network for Disparity Estimation","created":"2020-03-24","cited_by_count":31},{"id":"2403.03447","title":"HDRFlow: Real-Time HDR Video Reconstruction with Large Motions","created":"2024-03-06","cited_by_count":31},{"id":"2312.00343","title":"OpenStereo: A Comprehensive Benchmark for Stereo Matching and Strong Baseline","created":"2023-12-01","cited_by_count":30},{"id":"2403.07535","title":"Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving","created":"2024-03-12","cited_by_count":30},{"id":"2406.19833","title":"LightStereo: Channel Boost Is All You Need for Efficient 2D Cost Aggregation","created":"2024-06-28","cited_by_count":28},{"id":"2104.07516","title":"A Decomposition Model for Stereo Matching","created":"2021-04-15","cited_by_count":25},{"id":"2308.00728","title":"ELFNet: Evidential Local-global Fusion for Stereo Matching","created":"2023-08-01","cited_by_count":25},{"id":"2301.02789","title":"CGI-Stereo: Accurate and Real-Time Stereo Matching via Context and Geometry Interaction","created":"2023-01-07","cited_by_count":17},{"id":"2501.08654","title":"ZeroStereo: Zero-shot Stereo Matching from Single Images","created":"2025-01-15","cited_by_count":13},{"id":"2402.19270","title":"Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching","created":"2024-02-29","cited_by_count":11},{"id":"2312.03790","title":"Memory-Efficient Optical Flow via Radius-Distribution Orthogonal Cost Volume","created":"2023-12-06","cited_by_count":9},{"id":"2407.03152","title":"Stereo Risk: A Continuous Modeling Approach to Stereo Matching","created":"2024-07-03","cited_by_count":6},{"id":"2409.04243","title":"Hybrid Cost Volume for Memory-Efficient Optical Flow","created":"2024-09-06","cited_by_count":6},{"id":"2503.01257","title":"SVDC: Consistent Direct Time-of-Flight Video Depth Completion with Frequency Selective Fusion","created":"2025-03-03","cited_by_count":4}],"next_cursor":null}