{"list":"other","total":100,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1503.02531","title":"Distilling the Knowledge in a Neural Network","created":"2015-03-09","cited_by_count":10324},{"id":"1612.00796","title":"Overcoming catastrophic forgetting in neural networks","created":"2016-12-02","cited_by_count":4787},{"id":"1702.04405","title":"ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes","created":"2017-02-14","cited_by_count":3117},{"id":"1703.05175","title":"Prototypical Networks for Few-shot Learning","created":"2017-03-15","cited_by_count":3015},{"id":"2006.09882","title":"Unsupervised Learning of Visual Features by Contrasting Cluster Assignments","created":"2020-06-17","cited_by_count":2857},{"id":"1606.09282","title":"Learning without Forgetting","created":"2016-06-29","cited_by_count":2496},{"id":"1912.04838","title":"Scalability in Perception for Autonomous Driving: Waymo Open Dataset","created":"2019-12-10","cited_by_count":2451},{"id":"1611.07725","title":"iCaRL: Incremental Classifier and Representation Learning","created":"2016-11-23","cited_by_count":2333},{"id":"1706.08840","title":"Gradient Episodic Memory for Continual Learning","created":"2017-06-26","cited_by_count":1898},{"id":"1412.6550","title":"FitNets: Hints for Thin Deep Nets","created":"2014-12-19","cited_by_count":1653},{"id":"1606.04671","title":"Progressive Neural Networks","created":"2016-06-15","cited_by_count":1361},{"id":"2401.10891","title":"Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data","created":"2024-01-19","cited_by_count":1360},{"id":"1705.08690","title":"Continual Learning with Deep Generative Replay","created":"2017-05-24","cited_by_count":1158},{"id":"1711.09601","title":"Memory Aware Synapses: Learning what (not) to forget","created":"2017-11-27","cited_by_count":1105},{"id":"1811.11682","title":"Experience Replay for Continual Learning","created":"2018-11-28","cited_by_count":1095},{"id":"2112.08654","title":"Learning to Prompt for Continual Learning","created":"2021-12-16","cited_by_count":944},{"id":"2004.07211","title":"Dark Experience for General Continual Learning: a Strong, Simple Baseline","created":"2020-04-15","cited_by_count":911},{"id":"1711.05769","title":"PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning","created":"2017-11-15","cited_by_count":898},{"id":"2106.03106","title":"Uformer: A General U-Shaped Transformer for Image Restoration","created":"2021-06-06","cited_by_count":866},{"id":"1801.10112","title":"Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence","created":"2018-01-30","cited_by_count":742},{"id":"1806.10574","title":"This Looks Like That: Deep Learning for Interpretable Image Recognition","created":"2018-06-27","cited_by_count":737},{"id":"1905.13260","title":"Large Scale Incremental Learning","created":"2019-05-30","cited_by_count":732},{"id":"1708.01547","title":"Lifelong Learning with Dynamically Expandable Networks","created":"2017-08-04","cited_by_count":694},{"id":"1801.01423","title":"Overcoming catastrophic forgetting with hard attention to the task","created":"2018-01-04","cited_by_count":681},{"id":"2204.04799","title":"DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning","created":"2022-04-10","cited_by_count":642},{"id":"2005.04966","title":"Prototypical Contrastive Learning of Unsupervised Representations","created":"2020-05-11","cited_by_count":640},{"id":"1810.11910","title":"Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference","created":"2018-10-29","cited_by_count":521},{"id":"2211.13218","title":"CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning","created":"2022-11-23","cited_by_count":450},{"id":"2410.02073","title":"Depth Pro: Sharp Monocular Metric Depth in Less Than a Second","created":"2024-10-02","cited_by_count":404},{"id":"1804.09458","title":"Dynamic Few-Shot Visual Learning without Forgetting","created":"2018-04-25","cited_by_count":385},{"id":"1605.06457","title":"Virtual Worlds as Proxy for Multi-Object Tracking Analysis","created":"2016-05-20","cited_by_count":341},{"id":"1710.10628","title":"Variational Continual Learning","created":"2017-10-29","cited_by_count":339},{"id":"1708.06500","title":"Sparsity Invariant CNNs","created":"2017-08-22","cited_by_count":326},{"id":"1711.04043","title":"Few-Shot Learning with Graph Neural Networks","created":"2017-11-10","cited_by_count":324},{"id":"1904.00310","title":"Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting","created":"2019-03-31","cited_by_count":302},{"id":"2111.11326","title":"DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion","created":"2021-11-22","cited_by_count":291},{"id":"2101.10423","title":"Online Continual Learning in Image Classification: An Empirical Survey","created":"2021-01-25","cited_by_count":245},{"id":"2006.14769","title":"Supermasks in Superposition","created":"2020-06-26","cited_by_count":227},{"id":"2008.03898","title":"Prototype Mixture Models for Few-shot Semantic Segmentation","created":"2020-08-10","cited_by_count":190},{"id":"1904.03137","title":"Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning","created":"2019-04-05","cited_by_count":182},{"id":"1711.10563","title":"FearNet: Brain-Inspired Model for Incremental Learning","created":"2017-11-28","cited_by_count":177},{"id":"2002.08165","title":"Using Hindsight to Anchor Past Knowledge in Continual Learning","created":"2020-02-19","cited_by_count":161},{"id":"1910.14481","title":"Continual Unsupervised Representation Learning","created":"2019-10-31","cited_by_count":147},{"id":"2009.00919","title":"Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams","created":"2020-09-02","cited_by_count":144},{"id":"1807.00275","title":"Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera","created":"2018-07-01","cited_by_count":140},{"id":"1809.05922","title":"Memory Efficient Experience Replay for Streaming Learning","created":"2018-09-16","cited_by_count":128},{"id":"1901.11356","title":"Functional Regularisation for Continual Learning with Gaussian Processes","created":"2019-01-31","cited_by_count":123},{"id":"2203.06359","title":"Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning","created":"2022-03-12","cited_by_count":118},{"id":"1903.12648","title":"Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild","created":"2019-03-29","cited_by_count":111},{"id":"2004.09199","title":"Generative Feature Replay For Class-Incremental Learning","created":"2020-04-20","cited_by_count":109},{"id":"2004.00713","title":"Memory-Efficient Incremental Learning Through Feature Adaptation","created":"2020-04-01","cited_by_count":107},{"id":"2004.14070","title":"Continual Deep Learning by Functional Regularisation of Memorable Past","created":"2020-04-29","cited_by_count":105},{"id":"1704.01920","title":"Encoder Based Lifelong Learning","created":"2017-04-06","cited_by_count":102},{"id":"1911.10713","title":"Prototype Rectification for Few-Shot Learning","created":"2019-11-25","cited_by_count":97},{"id":"2401.18084","title":"Binding Touch to Everything: Learning Unified Multimodal Tactile Representations","created":"2024-01-31","cited_by_count":95},{"id":"1905.08616","title":"Unsupervised Depth Completion from Visual Inertial Odometry","created":"2019-05-15","cited_by_count":89},{"id":"2304.14340","title":"SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection","created":"2023-04-27","cited_by_count":83},{"id":"2112.10017","title":"Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks","created":"2021-12-18","cited_by_count":81},{"id":"1907.10107","title":"Lifelong GAN: Continual Learning for Conditional Image Generation","created":"2019-07-23","cited_by_count":78},{"id":"2108.10531","title":"Unsupervised Depth Completion with Calibrated Backprojection Layers","created":"2021-08-24","cited_by_count":61},{"id":"1901.10034","title":"Dense Depth Posterior (DDP) from Single Image and Sparse Range","created":"2019-01-28","cited_by_count":57},{"id":"2011.12328","title":"Generalized Variational Continual Learning","created":"2020-11-24","cited_by_count":56},{"id":"2308.00301","title":"Online Prototype Learning for Online Continual Learning","created":"2023-08-01","cited_by_count":53},{"id":"1903.04566","title":"Complementary Learning for Overcoming Catastrophic Forgetting Using Experience Replay","created":"2019-03-11","cited_by_count":51},{"id":"1903.07309","title":"Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction","created":"2019-03-18","cited_by_count":44},{"id":"2204.10638","title":"Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation","created":"2022-04-22","cited_by_count":43},{"id":"2303.09483","title":"Achieving a Better Stability-Plasticity Trade-off via Auxiliary Networks in Continual Learning","created":"2023-03-16","cited_by_count":41},{"id":"2006.08602","title":"Targeted Adversarial Perturbations for Monocular Depth Prediction","created":"2020-06-12","cited_by_count":40},{"id":"2101.04904","title":"EEC: Learning to Encode and Regenerate Images for Continual Learning","created":"2021-01-13","cited_by_count":40},{"id":"1902.00761","title":"DFuseNet: Deep Fusion of RGB and Sparse Depth Information for Image Guided Dense Depth Completion","created":"2019-02-02","cited_by_count":38},{"id":"2106.02994","title":"Learning Topology from Synthetic Data for Unsupervised Depth Completion","created":"2021-06-06","cited_by_count":38},{"id":"2303.14771","title":"Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning","created":"2023-03-26","cited_by_count":35},{"id":"2404.03635","title":"WorDepth: Variational Language Prior for Monocular Depth Estimation","created":"2024-04-04","cited_by_count":34},{"id":"1711.06761","title":"Scalable Recollections for Continual Lifelong Learning","created":"2017-11-17","cited_by_count":33},{"id":"1807.11130","title":"Geo-Supervised Visual Depth Prediction","created":"2018-07-30","cited_by_count":33},{"id":"2012.06956","title":"Learn-Prune-Share for Lifelong Learning","created":"2020-12-13","cited_by_count":32},{"id":"2106.03010","title":"An Adaptive Framework for Learning Unsupervised Depth Completion","created":"2021-06-06","cited_by_count":30},{"id":"2008.01034","title":"Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data","created":"2020-08-03","cited_by_count":28},{"id":"2211.10994","title":"DesNet: Decomposed Scale-Consistent Network for Unsupervised Depth Completion","created":"2022-11-20","cited_by_count":27},{"id":"2402.03312","title":"Test-Time Adaptation for Depth Completion","created":"2024-02-05","cited_by_count":26},{"id":"2203.16034","title":"Monitored Distillation for Positive Congruent Depth Completion","created":"2022-03-30","cited_by_count":24},{"id":"2303.09447","title":"Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning","created":"2023-03-16","cited_by_count":22},{"id":"2106.07035","title":"Deep Bayesian Unsupervised Lifelong Learning","created":"2021-06-13","cited_by_count":21},{"id":"2410.02924","title":"RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions","created":"2024-10-03","cited_by_count":21},{"id":"2009.10142","title":"Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations","created":"2020-09-21","cited_by_count":19},{"id":"2108.12641","title":"Prototype-Guided Memory Replay for Continual Learning","created":"2021-08-28","cited_by_count":19},{"id":"2112.06116","title":"Stereoscopic Universal Perturbations across Different Architectures and Datasets","created":"2021-12-12","cited_by_count":17},{"id":"2312.00944","title":"Enhancing Diffusion Models with 3D Perspective Geometry Constraints","created":"2023-12-01","cited_by_count":16},{"id":"2310.09739","title":"AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation","created":"2023-10-15","cited_by_count":15},{"id":"2402.16189","title":"One-stage Prompt-based Continual Learning","created":"2024-02-25","cited_by_count":14},{"id":"2204.13877","title":"Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM","created":"2022-04-29","cited_by_count":10},{"id":"2304.14190","title":"Quadric Representations for LiDAR Odometry, Mapping and Localization","created":"2023-04-27","cited_by_count":9},{"id":"2310.03967","title":"Sub-token ViT Embedding via Stochastic Resonance Transformers","created":"2023-10-06","cited_by_count":9},{"id":"2405.17315","title":"All-day Depth Completion","created":"2024-05-27","cited_by_count":8},{"id":"1905.09447","title":"Variational Prototype Replays for Continual Learning","created":"2019-05-23","cited_by_count":7},{"id":"2012.06789","title":"Knowledge Capture and Replay for Continual Learning","created":"2020-12-12","cited_by_count":7},{"id":"2104.09240","title":"Continual Learning with Fully Probabilistic Models","created":"2021-04-19","cited_by_count":6},{"id":"2311.02393","title":"Continual Learning of Unsupervised Monocular Depth from Videos","created":"2023-11-04","cited_by_count":5},{"id":"2411.16750","title":"Iris: Integrating Language into Diffusion-based Monocular Depth Estimation","created":"2024-11-24","cited_by_count":5}],"next_cursor":null}