{"list":"other","total":61,"rows":[{"id":"2103.00020","title":"Learning Transferable Visual Models From Natural Language Supervision","created":"2021-02-26","cited_by_count":33744},{"id":"2010.11929","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","created":"2020-10-22","cited_by_count":30186},{"id":"2304.07193","title":"DINOv2: Learning Robust Visual Features without Supervision","created":"2023-04-14","cited_by_count":7974},{"id":"2104.14294","title":"Emerging Properties in Self-Supervised Vision Transformers","created":"2021-04-29","cited_by_count":6968},{"id":"2001.07685","title":"FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence","created":"2020-01-21","cited_by_count":2085},{"id":"1306.5151","title":"Fine-Grained Visual Classification of Aircraft","created":"2013-06-21","cited_by_count":1726},{"id":"2508.10104","title":"DINOv3","created":"2025-08-13","cited_by_count":1414},{"id":"1905.02249","title":"MixMatch: A Holistic Approach to Semi-Supervised Learning","created":"2019-05-06","cited_by_count":1391},{"id":"1610.02242","title":"Temporal Ensembling for Semi-Supervised Learning","created":"2016-10-07","cited_by_count":1057},{"id":"2006.15055","title":"Object-Centric Learning with Slot Attention","created":"2020-06-26","cited_by_count":876},{"id":"2112.05814","title":"Deep ViT Features as Dense Visual Descriptors","created":"2021-12-10","cited_by_count":330},{"id":"2101.06329","title":"In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning","created":"2021-01-15","cited_by_count":301},{"id":"2305.15347","title":"A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence","created":"2023-05-24","cited_by_count":301},{"id":"1908.09884","title":"Learning to Discover Novel Visual Categories via Deep Transfer Clustering","created":"2019-08-26","cited_by_count":225},{"id":"2201.02609","title":"Generalized Category Discovery","created":"2022-01-07","cited_by_count":211},{"id":"2102.03526","title":"Open-World Semi-Supervised Learning","created":"2021-02-06","cited_by_count":165},{"id":"2108.08536","title":"A Unified Objective for Novel Class Discovery","created":"2021-08-19","cited_by_count":162},{"id":"2002.05714","title":"Automatically Discovering and Learning New Visual Categories with Ranking Statistics","created":"2020-02-13","cited_by_count":143},{"id":"2106.10731","title":"Neighborhood Contrastive Learning for Novel Class Discovery","created":"2021-06-20","cited_by_count":121},{"id":"2106.15252","title":"AutoNovel: Automatically Discovering and Learning Novel Visual Categories","created":"2021-06-29","cited_by_count":116},{"id":"2403.10516","title":"FeatUp: A Model-Agnostic Framework for Features at Any Resolution","created":"2024-03-15","cited_by_count":116},{"id":"2104.13963","title":"Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples","created":"2021-04-28","cited_by_count":114},{"id":"2211.11727","title":"Parametric Classification for Generalized Category Discovery: A Baseline Study","created":"2022-11-21","cited_by_count":113},{"id":"2107.03358","title":"Novel Visual Category Discovery with Dual Ranking Statistics and Mutual Knowledge Distillation","created":"2021-07-07","cited_by_count":104},{"id":"2303.17393","title":"Dynamic Conceptional Contrastive Learning for Generalized Category Discovery","created":"2023-03-30","cited_by_count":92},{"id":"2007.11330","title":"Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning","created":"2020-07-22","cited_by_count":82},{"id":"2305.06144","title":"Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery","created":"2023-05-10","cited_by_count":72},{"id":"1903.06946","title":"Unsupervised Part-Based Disentangling of Object Shape and Appearance","created":"2019-03-16","cited_by_count":67},{"id":"2311.17055","title":"No Representation Rules Them All in Category Discovery","created":"2023-11-28","cited_by_count":61},{"id":"1906.05372","title":"The Herbarium Challenge 2019 Dataset","created":"2019-06-12","cited_by_count":60},{"id":"2111.06349","title":"Unsupervised Part Discovery from Contrastive Reconstruction","created":"2021-11-11","cited_by_count":57},{"id":"2104.12673","title":"Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data","created":"2021-04-26","cited_by_count":55},{"id":"2305.11173","title":"Going Denser with Open-Vocabulary Part Segmentation","created":"2023-05-18","cited_by_count":51},{"id":"2403.13684","title":"SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning","created":"2024-03-20","cited_by_count":51},{"id":"1406.2952","title":"Bird Species Categorization Using Pose Normalized Deep Convolutional Nets","created":"2014-06-11","cited_by_count":50},{"id":"2105.14148","title":"OpenMatch: Open-set Consistency Regularization for Semi-supervised Learning with Outliers","created":"2021-05-28","cited_by_count":43},{"id":"2108.05617","title":"Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning","created":"2021-08-12","cited_by_count":40},{"id":"2207.10659","title":"Novel Class Discovery without Forgetting","created":"2022-07-21","cited_by_count":39},{"id":"2408.14371","title":"SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery","created":"2024-08-26","cited_by_count":34},{"id":"2210.04174","title":"Grow and Merge: A Unified Framework for Continuous Categories Discovery","created":"2022-10-09","cited_by_count":33},{"id":"2403.07369","title":"Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class Discovery","created":"2024-03-12","cited_by_count":31},{"id":"1804.01552","title":"Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection","created":"2018-04-04","cited_by_count":27},{"id":"2305.14107","title":"Federated Generalized Category Discovery","created":"2023-05-23","cited_by_count":27},{"id":"2403.09974","title":"GET: Unlocking the Multi-modal Potential of CLIP for Generalized Category Discovery","created":"2024-03-15","cited_by_count":27},{"id":"2304.06928","title":"CiPR: An Efficient Framework with Cross-instance Positive Relations for Generalized Category Discovery","created":"2023-04-14","cited_by_count":26},{"id":"2305.10420","title":"CLIP-GCD: Simple Language Guided Generalized Category Discovery","created":"2023-05-17","cited_by_count":25},{"id":"2408.04591","title":"HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts","created":"2024-08-08","cited_by_count":23},{"id":"2504.06120","title":"Hyperbolic Category Discovery","created":"2025-04-08","cited_by_count":20},{"id":"2504.03755","title":"ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery","created":"2025-04-02","cited_by_count":19},{"id":"2504.04804","title":"DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery","created":"2025-04-07","cited_by_count":15},{"id":"1704.04749","title":"AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching","created":"2017-04-16","cited_by_count":13},{"id":"2106.09758","title":"Discovering Relationships between Object Categories via Universal Canonical Maps","created":"2021-06-17","cited_by_count":13},{"id":"2507.06928","title":"Adaptive Part Learning for Fine-Grained Generalized Category Discovery: A Plug-and-Play Enhancement","created":"2025-07-09","cited_by_count":13},{"id":"2508.10731","title":"Dissecting Generalized Category Discovery: Multiplex Consensus under Self-Deconstruction","created":"2025-08-14","cited_by_count":13},{"id":"2503.12035","title":"MOS: Modeling Object-Scene Associations in Generalized Category Discovery","created":"2025-03-15","cited_by_count":10},{"id":"2409.19659","title":"Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery","created":"2024-09-29","cited_by_count":9},{"id":"2506.02334","title":"Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization","created":"2025-06-03","cited_by_count":6},{"id":"2507.04725","title":"Consistent Supervised-Unsupervised Alignment for Generalized Category Discovery","created":"2025-07-07","cited_by_count":6},{"id":"2501.09688","title":"Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation","created":"2025-01-16","cited_by_count":4},{"id":"2503.16782","title":"Learning Part Knowledge to Facilitate Category Understanding for Fine-Grained Generalized Category Discovery","created":"2025-03-21","cited_by_count":4},{"id":"2507.14315","title":"A Hidden Stumbling Block in Generalized Category Discovery: Distracted Attention","created":"2025-07-18","cited_by_count":3}],"next_cursor":null}