{"total":207,"rows":[{"id":"2112.12761","title":"BANMo: Building Animatable 3D Neural Models from Many Casual Videos","created":"2021-12-23","cited_by_count":197,"area":null},{"id":"2202.11539","title":"Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut","created":"2022-02-23","cited_by_count":167,"area":"distill"},{"id":"2203.11183","title":"Masked Discrimination for Self-Supervised Learning on Point Clouds","created":"2022-03-21","cited_by_count":155,"area":null},{"id":"2203.02891","title":"Multi-class Token Transformer for Weakly Supervised Semantic Segmentation","created":"2022-03-06","cited_by_count":138,"area":null},{"id":"2103.08896","title":"Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation","created":"2021-03-16","cited_by_count":134,"area":null},{"id":"2103.14862","title":"TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization","created":"2021-03-27","cited_by_count":123,"area":null},{"id":"2111.12085","title":"UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language Modeling","created":"2021-11-23","cited_by_count":122,"area":"mllm"},{"id":"2106.03149","title":"Large-scale Unsupervised Semantic Segmentation","created":"2021-06-06","cited_by_count":101,"area":null},{"id":"2205.01491","title":"A Comprehensive Survey of Image Augmentation Techniques for Deep Learning","created":"2022-05-03","cited_by_count":97,"area":null},{"id":"2210.07506","title":"Weakly-Supervised Multi-Granularity Map Learning for Vision-and-Language Navigation","created":"2022-10-14","cited_by_count":86,"area":null},{"id":"2104.07918","title":"Weakly Supervised Object Localization and Detection: A Survey","created":"2021-04-16","cited_by_count":84,"area":null},{"id":"2203.09905","title":"Learning Affordance Grounding from Exocentric Images","created":"2022-03-18","cited_by_count":82,"area":null},{"id":"2108.03852","title":"Complementary Patch for Weakly Supervised Semantic Segmentation","created":"2021-08-09","cited_by_count":75,"area":null},{"id":"2209.09634","title":"A Closer Look at Weakly-Supervised Audio-Visual Source Localization","created":"2022-08-30","cited_by_count":73,"area":null},{"id":"2103.16392","title":"CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning","created":"2021-03-30","cited_by_count":69,"area":null},{"id":"2111.14338","title":"Improving Deep Learning Interpretability by Saliency Guided Training","created":"2021-11-29","cited_by_count":68,"area":null},{"id":"2203.09653","title":"Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation","created":"2022-03-17","cited_by_count":64,"area":null},{"id":"2102.01929","title":"Regularization Strategy for Point Cloud via Rigidly Mixed Sample","created":"2021-02-03","cited_by_count":59,"area":null},{"id":"2305.05803","title":"Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation","created":"2023-05-09","cited_by_count":53,"area":null},{"id":"2204.01458","title":"Correlation Verification for Image Retrieval","created":"2022-04-04","cited_by_count":47,"area":null},{"id":"2103.04523","title":"Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization","created":"2021-03-08","cited_by_count":46,"area":null},{"id":"2101.00545","title":"A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization","created":"2021-01-03","cited_by_count":45,"area":null},{"id":"2108.05029","title":"Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization","created":"2021-08-11","cited_by_count":42,"area":null},{"id":"2210.17400","title":"Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation","created":"2022-10-31","cited_by_count":41,"area":null},{"id":"2203.15187","title":"ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization","created":"2022-03-29","cited_by_count":40,"area":null},{"id":"2405.09591","title":"A Comprehensive Survey on Data Augmentation","created":"2024-05-15","cited_by_count":40,"area":null},{"id":"2106.16136","title":"Weakly Supervised Temporal Adjacent Network for Language Grounding","created":"2021-06-30","cited_by_count":37,"area":null},{"id":"2209.07761","title":"Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation","created":"2022-09-16","cited_by_count":37,"area":null},{"id":"2108.00873","title":"Shallow Feature Matters for Weakly Supervised Object Localization","created":"2021-08-02","cited_by_count":34,"area":null},{"id":"2111.13495","title":"SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection","created":"2021-11-26","cited_by_count":34,"area":null},{"id":"2203.16800","title":"Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization","created":"2022-03-31","cited_by_count":33,"area":null},{"id":"2110.00111","title":"Deep Learning-based Action Detection in Untrimmed Videos: A Survey","created":"2021-09-30","cited_by_count":32,"area":null},{"id":"2110.05741","title":"Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization","created":"2021-10-12","cited_by_count":30,"area":null},{"id":"2302.05499","title":"CUDA: Curriculum of Data Augmentation for Long-Tailed Recognition","created":"2023-02-10","cited_by_count":30,"area":null},{"id":"2104.06401","title":"Self-supervised object detection from audio-visual correspondence","created":"2021-04-13","cited_by_count":29,"area":null},{"id":"2112.08996","title":"Activation Modulation and Recalibration Scheme for Weakly Supervised Semantic Segmentation","created":"2021-12-16","cited_by_count":29,"area":null},{"id":"2104.14135","title":"Action Unit Memory Network for Weakly Supervised Temporal Action Localization","created":"2021-04-29","cited_by_count":26,"area":null},{"id":"2106.07085","title":"Survey: Image Mixing and Deleting for Data Augmentation","created":"2021-06-13","cited_by_count":26,"area":null},{"id":"2108.06524","title":"Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization","created":"2021-08-14","cited_by_count":26,"area":null},{"id":"2109.07069","title":"F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling","created":"2021-09-15","cited_by_count":26,"area":null},{"id":"2211.12268","title":"Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation","created":"2022-11-22","cited_by_count":26,"area":null},{"id":"2204.00220","title":"Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization","created":"2022-04-01","cited_by_count":25,"area":null},{"id":"2112.05291","title":"LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization","created":"2021-12-10","cited_by_count":24,"area":null},{"id":"2103.16565","title":"Learning Representational Invariances for Data-Efficient Action Recognition","created":"2021-03-30","cited_by_count":22,"area":null},{"id":"2112.00580","title":"Background Activation Suppression for Weakly Supervised Object Localization","created":"2021-12-01","cited_by_count":22,"area":null},{"id":"2308.03005","title":"MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation","created":"2023-08-06","cited_by_count":22,"area":null},{"id":"2105.02439","title":"Weakly Supervised Action Selection Learning in Video","created":"2021-05-06","cited_by_count":21,"area":null},{"id":"2110.03094","title":"Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports","created":"2021-10-06","cited_by_count":21,"area":null},{"id":"2202.10107","title":"Model-Agnostic Augmentation for Accurate Graph Classification","created":"2022-02-21","cited_by_count":21,"area":null},{"id":"2205.13922","title":"CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping","created":"2022-05-27","cited_by_count":21,"area":null},{"id":"2303.01500","title":"Dropout Reduces Underfitting","created":"2023-03-02","cited_by_count":21,"area":null},{"id":"2304.05887","title":"Are Local Features All You Need for Cross-Domain Visual Place Recognition?","created":"2023-04-12","cited_by_count":21,"area":null},{"id":"2207.10447","title":"Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration","created":"2022-07-21","cited_by_count":20,"area":null},{"id":"2307.09756","title":"Generative Prompt Model for Weakly Supervised Object Localization","created":"2023-07-19","cited_by_count":20,"area":null},{"id":"2104.02967","title":"ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization","created":"2021-04-07","cited_by_count":19,"area":null},{"id":"2105.03053","title":"Salient Objects in Clutter","created":"2021-05-07","cited_by_count":19,"area":null},{"id":"2107.13221","title":"Normalization Matters in Weakly Supervised Object Localization","created":"2021-07-28","cited_by_count":19,"area":null},{"id":"2303.15149","title":"What Can Human Sketches Do for Object Detection?","created":"2023-03-27","cited_by_count":19,"area":null},{"id":"2109.09150","title":"A Study of the Generalizability of Self-Supervised Representations","created":"2021-09-19","cited_by_count":18,"area":null},{"id":"2309.12943","title":"Background Activation Suppression for Weakly Supervised Object Localization and Semantic Segmentation","created":"2023-09-22","cited_by_count":17,"area":null},{"id":"2103.13183","title":"The Blessings of Unlabeled Background in Untrimmed Videos","created":"2021-03-24","cited_by_count":16,"area":null},{"id":"2203.01714","title":"Weakly Supervised Object Localization as Domain Adaption","created":"2022-03-03","cited_by_count":16,"area":null},{"id":"2106.07861","title":"Keep CALM and Improve Visual Feature Attribution","created":"2021-06-15","cited_by_count":15,"area":null},{"id":"2209.07828","title":"Weakly Supervised Semantic Segmentation via Progressive Patch Learning","created":"2022-09-16","cited_by_count":15,"area":null},{"id":"2311.17095","title":"Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models","created":"2023-11-28","cited_by_count":15,"area":"mllm"},{"id":"2407.10649","title":"Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation","created":"2024-07-15","cited_by_count":15,"area":null},{"id":"2207.03692","title":"Mining Discriminative Food Regions for Accurate Food Recognition","created":"2022-07-08","cited_by_count":14,"area":null},{"id":"2303.07806","title":"USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation","created":"2023-03-14","cited_by_count":14,"area":null},{"id":"2202.08199","title":"Less is More: Surgical Phase Recognition from Timestamp Supervision","created":"2022-02-16","cited_by_count":13,"area":null},{"id":"2204.06772","title":"ViTOL: Vision Transformer for Weakly Supervised Object Localization","created":"2022-04-14","cited_by_count":13,"area":null},{"id":"2209.09209","title":"Discriminative Sampling of Proposals in Self-Supervised Transformers for Weakly Supervised Object Localization","created":"2022-09-09","cited_by_count":13,"area":null},{"id":"2403.08689","title":"Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images","created":"2024-03-13","cited_by_count":13,"area":null},{"id":"2409.06290","title":"EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification","created":"2024-09-10","cited_by_count":13,"area":null},{"id":"2204.04890","title":"Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization","created":"2022-04-11","cited_by_count":12,"area":null},{"id":"2207.10225","title":"On Label Granularity and Object Localization","created":"2022-07-20","cited_by_count":12,"area":null},{"id":"2208.14542","title":"TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos","created":"2022-08-30","cited_by_count":12,"area":null},{"id":"2312.02617","title":"DreaMo: Articulated 3D Reconstruction From A Single Casual Video","created":"2023-12-05","cited_by_count":12,"area":null},{"id":"2102.09875","title":"Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition","created":"2021-02-19","cited_by_count":11,"area":null},{"id":"2110.14191","title":"Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity","created":"2021-10-27","cited_by_count":11,"area":null},{"id":"2206.09358","title":"What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text Inputs","created":"2022-06-19","cited_by_count":11,"area":null},{"id":"2208.01838","title":"Re-Attention Transformer for Weakly Supervised Object Localization","created":"2022-08-03","cited_by_count":11,"area":null},{"id":"2210.02270","title":"Weak-shot Semantic Segmentation via Dual Similarity Transfer","created":"2022-10-05","cited_by_count":10,"area":null},{"id":"2105.10445","title":"WeGleNet: A Weakly-Supervised Convolutional Neural Network for the Semantic Segmentation of Gleason Grades in Prostate Histology Images","created":"2021-05-21","cited_by_count":9,"area":null},{"id":"2110.14309","title":"Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation","created":"2021-10-27","cited_by_count":9,"area":null},{"id":"2206.15015","title":"Exploring Temporally Dynamic Data Augmentation for Video Recognition","created":"2022-06-30","cited_by_count":9,"area":null},{"id":"2207.07818","title":"Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization","created":"2022-07-16","cited_by_count":9,"area":null},{"id":"2311.06056","title":"Learning Contrastive Self-Distillation for Ultra-Fine-Grained Visual Categorization Targeting Limited Samples","created":"2023-11-10","cited_by_count":9,"area":"distill"},{"id":"2404.19113","title":"Source-Free Domain Adaptation of Weakly-Supervised Object Localization Models for Histology","created":"2024-04-29","cited_by_count":9,"area":null},{"id":"2104.02113","title":"Anchor-Constrained Viterbi for Set-Supervised Action Segmentation","created":"2021-04-05","cited_by_count":8,"area":null},{"id":"2201.02445","title":"Negative Evidence Matters in Interpretable Histology Image Classification","created":"2022-01-07","cited_by_count":8,"area":null},{"id":"2305.00607","title":"Boosting Weakly-Supervised Temporal Action Localization with Text Information","created":"2023-05-01","cited_by_count":8,"area":null},{"id":"2310.00772","title":"SMOOT: Saliency Guided Mask Optimized Online Training","created":"2023-10-01","cited_by_count":8,"area":null},{"id":"2310.06196","title":"DiPS: Discriminative Pseudo-Label Sampling with Self-Supervised Transformers for Weakly Supervised Object Localization","created":"2023-10-09","cited_by_count":8,"area":null},{"id":"2312.14138","title":"Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach","created":"2023-12-21","cited_by_count":8,"area":null},{"id":"2408.05337","title":"VACoDe: Visual Augmented Contrastive Decoding","created":"2024-07-26","cited_by_count":8,"area":"mllm"},{"id":"2103.16651","title":"DAP: Detection-Aware Pre-training with Weak Supervision","created":"2021-03-30","cited_by_count":7,"area":null},{"id":"2106.07049","title":"Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis","created":"2021-06-13","cited_by_count":7,"area":null},{"id":"2108.05607","title":"Deep Motion Prior for Weakly-Supervised Temporal Action Localization","created":"2021-08-12","cited_by_count":7,"area":null},{"id":"2110.01519","title":"Weak-shot Semantic Segmentation by Transferring Semantic Affinity and Boundary","created":"2021-10-04","cited_by_count":7,"area":null},{"id":"2203.13505","title":"Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentation","created":"2022-03-25","cited_by_count":7,"area":null}],"next_cursor":"100"}