{"total":69,"rows":[{"id":"2110.14051","title":"A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges","created":"2021-10-26","cited_by_count":154,"area":null},{"id":"2110.02473","title":"The Power of Contrast for Feature Learning: A Theoretical Analysis","created":"2021-10-06","cited_by_count":53,"area":null},{"id":"2302.06232","title":"Understanding Multimodal Contrastive Learning and Incorporating Unpaired Data","created":"2023-02-13","cited_by_count":43,"area":null},{"id":"2104.04980","title":"Zero-Shot Learning on 3D Point Cloud Objects and Beyond","created":"2021-04-11","cited_by_count":38,"area":null},{"id":"2104.09587","title":"ASFM-Net: Asymmetrical Siamese Feature Matching Network for Point Completion","created":"2021-04-19","cited_by_count":28,"area":null},{"id":"2201.02331","title":"iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection","created":"2022-01-07","cited_by_count":27,"area":null},{"id":"2203.01735","title":"Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification","created":"2022-03-03","cited_by_count":26,"area":null},{"id":"2108.01344","title":"Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation","created":"2021-08-03","cited_by_count":22,"area":null},{"id":"2111.15363","title":"Voint Cloud: Multi-View Point Cloud Representation for 3D Understanding","created":"2021-11-30","cited_by_count":22,"area":null},{"id":"2110.11264","title":"MSO: Multi-Feature Space Joint Optimization Network for RGB-Infrared Person Re-Identification","created":"2021-10-21","cited_by_count":18,"area":null},{"id":"2203.16141","title":"Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis","created":"2022-03-30","cited_by_count":13,"area":null},{"id":"2205.01915","title":"Generalized Knowledge Distillation via Relationship Matching","created":"2022-05-04","cited_by_count":12,"area":"distill"},{"id":"2202.11948","title":"Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval","created":"2022-02-24","cited_by_count":10,"area":null},{"id":"2211.06009","title":"What's the Situation with Intelligent Mesh Generation: A Survey and Perspectives","created":"2022-11-11","cited_by_count":9,"area":null},{"id":"2111.00006","title":"Adaptive Hierarchical Similarity Metric Learning with Noisy Labels","created":"2021-10-29","cited_by_count":8,"area":null},{"id":"2401.00405","title":"Generalizing Single-View 3D Shape Retrieval to Occlusions and Unseen Objects","created":"2023-12-31","cited_by_count":8,"area":null},{"id":"2108.03743","title":"Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views","created":"2021-08-08","cited_by_count":7,"area":null},{"id":"2205.09817","title":"MiDAS: Multi-integrated Domain Adaptive Supervision for Fake News Detection","created":"2022-05-19","cited_by_count":7,"area":null},{"id":"2209.09043","title":"Structure-Aware 3D VR Sketch to 3D Shape Retrieval","created":"2022-09-19","cited_by_count":7,"area":null},{"id":"2212.13462","title":"MVTN: Learning Multi-View Transformations for 3D Understanding","created":"2022-12-27","cited_by_count":7,"area":null},{"id":"2306.08173","title":"Safeguarding Data in Multimodal AI: A Differentially Private Approach to CLIP Training","created":"2023-06-13","cited_by_count":7,"area":null},{"id":"2504.13159","title":"Digital Twin Generation from Visual Data: A Survey","created":"2025-04-17","cited_by_count":7,"area":null},{"id":"2207.04793","title":"PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification","created":"2022-07-11","cited_by_count":6,"area":null},{"id":"2103.06911","title":"CORSAIR: Convolutional Object Retrieval and Symmetry-AIded Registration","created":"2021-03-11","cited_by_count":5,"area":null},{"id":"2104.11571","title":"AttWalk: Attentive Cross-Walks for Deep Mesh Analysis","created":"2021-04-23","cited_by_count":5,"area":null},{"id":"2209.10008","title":"Fine-Grained VR Sketching: Dataset and Insights","created":"2022-09-20","cited_by_count":5,"area":null},{"id":"2310.10702","title":"Transparent Anomaly Detection via Concept-based Explanations","created":"2023-10-16","cited_by_count":5,"area":null},{"id":"2507.21489","title":"Describe, Adapt and Combine: Empowering CLIP Encoders for Open-set 3D Object Retrieval","created":"2025-07-29","cited_by_count":5,"area":null},{"id":"2109.01291","title":"LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition","created":"2021-09-03","cited_by_count":4,"area":null},{"id":"2209.10020","title":"Towards 3D VR-Sketch to 3D Shape Retrieval","created":"2022-09-20","cited_by_count":4,"area":null},{"id":"2304.06053","title":"TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval","created":"2023-04-12","cited_by_count":4,"area":null},{"id":"2404.17674","title":"Center-Based Relaxed Learning Against Membership Inference Attacks","created":"2024-04-26","cited_by_count":4,"area":"safety"},{"id":"2103.00787","title":"Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations","created":"2021-03-01","cited_by_count":3,"area":null},{"id":"2103.14003","title":"Rethinking Deep Contrastive Learning with Embedding Memory","created":"2021-03-25","cited_by_count":3,"area":null},{"id":"2107.01579","title":"Similarity-Aware Fusion Network for 3D Semantic Segmentation","created":"2021-07-04","cited_by_count":3,"area":null},{"id":"2207.01339","title":"Accurate Instance-Level CAD Model Retrieval in a Large-Scale Database","created":"2022-07-04","cited_by_count":3,"area":null},{"id":"2207.06592","title":"Few-Shot Specific Emitter Identification via Deep Metric Ensemble Learning","created":"2022-07-14","cited_by_count":3,"area":null},{"id":"2211.11751","title":"Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning","created":"2022-11-19","cited_by_count":3,"area":null},{"id":"2302.04108","title":"Triplet Loss-less Center Loss Sampling Strategies in Facial Expression Recognition Scenarios","created":"2023-02-08","cited_by_count":3,"area":null},{"id":"2302.09207","title":"RETVec: Resilient and Efficient Text Vectorizer","created":"2023-02-18","cited_by_count":3,"area":null},{"id":"2303.12992","title":"A Survey of Historical Learning: Learning Models with Learning History","created":"2023-03-23","cited_by_count":3,"area":null},{"id":"2306.08541","title":"Fine-Tuned but Zero-Shot 3D Shape Sketch View Similarity and Retrieval","created":"2023-06-14","cited_by_count":3,"area":null},{"id":"2307.10601","title":"SCA-PVNet: Self-and-Cross Attention Based Aggregation of Point Cloud and Multi-View for 3D Object Retrieval","created":"2023-07-20","cited_by_count":3,"area":null},{"id":"2312.05281","title":"X2-Softmax: Margin Adaptive Loss Function for Face Recognition","created":"2023-12-08","cited_by_count":3,"area":null},{"id":"2503.23062","title":"Shape and Texture Recognition in Large Vision-Language Models","created":"2025-03-29","cited_by_count":3,"area":"mllm"},{"id":"2403.00272","title":"Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval","created":"2024-03-01","cited_by_count":2,"area":null},{"id":"2405.12447","title":"EPL: Empirical Prototype Learning for Deep Face Recognition","created":"2024-05-21","cited_by_count":2,"area":null},{"id":"2407.01810","title":"Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval","created":"2024-07-01","cited_by_count":2,"area":null},{"id":"2505.02325","title":"TeDA: Boosting Vision-Lanuage Models for Zero-Shot 3D Object Retrieval via Testing-time Distribution Alignment","created":"2025-05-05","cited_by_count":2,"area":"mllm"},{"id":"2505.03539","title":"Panoramic Out-of-Distribution Segmentation","created":"2025-05-06","cited_by_count":2,"area":null},{"id":"2603.13265","title":"Knowledge, Rules and Their Embeddings: Two Paths towards Neuro-Symbolic JEPA","created":"2026-02-25","cited_by_count":2,"area":null},{"id":"2109.05524","title":"A Decidability-Based Loss Function","created":"2021-09-12","cited_by_count":1,"area":null},{"id":"2109.12299","title":"A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval","created":"2021-09-25","cited_by_count":1,"area":null},{"id":"2110.00972","title":"A Robust Scheme for 3D Point Cloud Copy Detection","created":"2021-10-03","cited_by_count":1,"area":null},{"id":"2311.11018","title":"SORTAD: Self-Supervised Optimized Random Transformations for Anomaly Detection in Tabular Data","created":"2023-11-18","cited_by_count":1,"area":null},{"id":"2103.02770","title":"SVMax: A Feature Embedding Regularizer","created":"2021-03-04","cited_by_count":0,"area":null},{"id":"2105.13277","title":"MeshCNN Fundamentals: Geometric Learning through a Reconstructable Representation","created":"2021-05-27","cited_by_count":0,"area":null},{"id":"2107.07958","title":"Temporal-aware Language Representation Learning From Crowdsourced Labels","created":"2021-07-15","cited_by_count":0,"area":null},{"id":"2109.13536","title":"A hierarchical residual network with compact triplet-center loss for sketch recognition","created":"2021-09-28","cited_by_count":0,"area":null},{"id":"2206.09068","title":"Attention-based Dynamic Subspace Learners for Medical Image Analysis","created":"2022-06-18","cited_by_count":0,"area":null},{"id":"2210.09506","title":"No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective","created":"2022-10-18","cited_by_count":0,"area":null},{"id":"2303.17127","title":"Adaptive Cross Batch Normalization for Metric Learning","created":"2023-03-30","cited_by_count":0,"area":null},{"id":"2304.11959","title":"A Forward and Backward Compatible Framework for Few-shot Class-incremental Pill Recognition","created":"2023-04-24","cited_by_count":0,"area":null},{"id":"2306.15321","title":"Multi-Dimensional Refinement Graph Convolutional Network with Robust Decouple Loss for Fine-Grained Skeleton-Based Action Recognition","created":"2023-06-27","cited_by_count":0,"area":null},{"id":"2407.03106","title":"Anti-Collapse Loss for Deep Metric Learning Based on Coding Rate Metric","created":"2024-07-03","cited_by_count":0,"area":null},{"id":"2410.05438","title":"DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning","created":"2024-10-07","cited_by_count":0,"area":null},{"id":"2411.01839","title":"TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition","created":"2024-11-04","cited_by_count":0,"area":null},{"id":"2604.19432","title":"DINO Eats CLIP: Adapting Beyond Knowns for Open-set 3D Object Retrieval","created":"2026-04-21","cited_by_count":0,"area":null},{"id":"2606.01981","title":"Generalization Limits in Vehicle Re-Identification","created":"2026-06-01","cited_by_count":0,"area":null}],"next_cursor":null}