{"list":"other","total":53,"rows":[{"id":"1512.03385","title":"Deep Residual Learning for Image Recognition","created":"2015-12-10","cited_by_count":52096},{"id":"1409.1556","title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","created":"2014-09-04","cited_by_count":15364},{"id":"1610.02391","title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization","created":"2016-10-07","cited_by_count":6733},{"id":"1612.00796","title":"Overcoming catastrophic forgetting in neural networks","created":"2016-12-02","cited_by_count":4787},{"id":"1505.07818","title":"Domain-Adversarial Training of Neural Networks","created":"2015-05-28","cited_by_count":3044},{"id":"1606.09282","title":"Learning without Forgetting","created":"2016-06-29","cited_by_count":2496},{"id":"1512.04150","title":"Learning Deep Features for Discriminative Localization","created":"2015-12-14","cited_by_count":2436},{"id":"1611.07725","title":"iCaRL: Incremental Classifier and Representation Learning","created":"2016-11-23","cited_by_count":2333},{"id":"1606.04671","title":"Progressive Neural Networks","created":"2016-06-15","cited_by_count":1361},{"id":"1502.02791","title":"Learning Transferable Features with Deep Adaptation Networks","created":"2015-02-10","cited_by_count":1329},{"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":"1812.00420","title":"Efficient Lifelong Learning with A-GEM","created":"2018-12-02","cited_by_count":1058},{"id":"1711.05769","title":"PackNet: Adding Multiple Tasks to a Single Network by Iterative Pruning","created":"2017-11-15","cited_by_count":898},{"id":"1705.08045","title":"Learning multiple visual domains with residual adapters","created":"2017-05-22","cited_by_count":557},{"id":"1907.09682","title":"Similarity-Preserving Knowledge Distillation","created":"2019-07-23","cited_by_count":516},{"id":"1701.08734","title":"PathNet: Evolution Channels Gradient Descent in Super Neural Networks","created":"2017-01-30","cited_by_count":364},{"id":"2103.02406","title":"Multi-attentional Deepfake Detection","created":"2021-03-03","cited_by_count":341},{"id":"1910.01717","title":"On the Detection of Digital Face Manipulation","created":"2019-10-03","cited_by_count":260},{"id":"1811.08051","title":"Learning without Memorizing","created":"2018-11-20","cited_by_count":250},{"id":"1703.08475","title":"Overcoming Catastrophic Forgetting by Incremental Moment Matching","created":"2017-03-24","cited_by_count":243},{"id":"1903.07864","title":"Class-incremental Learning via Deep Model Consolidation","created":"2019-03-19","cited_by_count":173},{"id":"2003.04092","title":"Searching Central Difference Convolutional Networks for Face Anti-Spoofing","created":"2020-03-09","cited_by_count":173},{"id":"1803.10082","title":"Efficient parametrization of multi-domain deep neural networks","created":"2018-03-27","cited_by_count":168},{"id":"1803.11097","title":"Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision","created":"2018-03-29","cited_by_count":167},{"id":"1903.09760","title":"Photorealistic Style Transfer via Wavelet Transforms","created":"2019-03-23","cited_by_count":166},{"id":"1804.10427","title":"Open Set Domain Adaptation by Backpropagation","created":"2018-04-27","cited_by_count":150},{"id":"2004.14043","title":"Single-Side Domain Generalization for Face Anti-Spoofing","created":"2020-04-29","cited_by_count":139},{"id":"2007.12342","title":"CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations","created":"2020-07-24","cited_by_count":109},{"id":"1607.00122","title":"Less-forgetting Learning in Deep Neural Networks","created":"2016-07-01","cited_by_count":97},{"id":"1904.02860","title":"Deep Tree Learning for Zero-shot Face Anti-Spoofing","created":"2019-04-05","cited_by_count":73},{"id":"2203.14325","title":"PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition","created":"2022-03-27","cited_by_count":67},{"id":"2003.05136","title":"CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing","created":"2020-03-11","cited_by_count":66},{"id":"2002.01775","title":"Feature-map-level Online Adversarial Knowledge Distillation","created":"2020-02-05","cited_by_count":62},{"id":"2007.02157","title":"Face Anti-Spoofing with Human Material Perception","created":"2020-07-04","cited_by_count":62},{"id":"2007.09273","title":"On Disentangling Spoof Trace for Generic Face Anti-Spoofing","created":"2020-07-17","cited_by_count":62},{"id":"1908.10654","title":"CASIA-SURF: A Large-scale Multi-modal Benchmark for Face Anti-spoofing","created":"2019-08-28","cited_by_count":61},{"id":"1807.09968","title":"Face De-Spoofing: Anti-Spoofing via Noise Modeling","created":"2018-07-26","cited_by_count":60},{"id":"2011.12032","title":"Revisiting Pixel-Wise Supervision for Face Anti-Spoofing","created":"2020-11-24","cited_by_count":45},{"id":"1904.12490","title":"Learning Meta Model for Zero- and Few-shot Face Anti-spoofing","created":"2019-04-29","cited_by_count":44},{"id":"1902.00927","title":"Depthwise Convolution is All You Need for Learning Multiple Visual Domains","created":"2019-02-03","cited_by_count":36},{"id":"2008.01389","title":"Class-Incremental Domain Adaptation","created":"2020-08-04","cited_by_count":36},{"id":"2203.15880","title":"Proactive Image Manipulation Detection","created":"2022-03-29","cited_by_count":35},{"id":"1902.07367","title":"Human Motion Prediction via Learning Local Structure Representations and Temporal Dependencies","created":"2019-02-20","cited_by_count":34},{"id":"2108.12081","title":"Detection and Continual Learning of Novel Face Presentation Attacks","created":"2021-08-27","cited_by_count":33},{"id":"1805.11119","title":"Adding New Tasks to a Single Network with Weight Transformations using Binary Masks","created":"2018-05-28","cited_by_count":21},{"id":"1901.05602","title":"Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing","created":"2019-01-17","cited_by_count":16},{"id":"2003.13043","title":"Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing","created":"2020-03-29","cited_by_count":14},{"id":"2107.01349","title":"Split-and-Bridge: Adaptable Class Incremental Learning within a Single Neural Network","created":"2021-07-03","cited_by_count":14},{"id":"2101.00124","title":"Discourse-level Relation Extraction via Graph Pooling","created":"2021-01-01","cited_by_count":9},{"id":"2007.02461","title":"CORD19STS: COVID-19 Semantic Textual Similarity Dataset","created":"2020-07-05","cited_by_count":7},{"id":"2106.14162","title":"Few-Shot Domain Expansion for Face Anti-Spoofing","created":"2021-06-27","cited_by_count":7},{"id":"2012.05185","title":"Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing","created":"2020-12-09","cited_by_count":6}],"next_cursor":null}