{"total":428,"rows":[{"id":"2201.03546","title":"Language-driven Semantic Segmentation","created":"2022-01-10","cited_by_count":717,"area":null},{"id":"2112.10003","title":"Image Segmentation Using Text and Image Prompts","created":"2021-12-18","cited_by_count":512,"area":null},{"id":"2302.12251","title":"VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion","created":"2023-02-23","cited_by_count":313,"area":null},{"id":"2104.01893","title":"Adaptive Prototype Learning and Allocation for Few-Shot Segmentation","created":"2021-04-05","cited_by_count":207,"area":null},{"id":"2106.05210","title":"Rethinking Space-Time Networks with Improved Memory Coverage for Efficient Video Object Segmentation","created":"2021-06-09","cited_by_count":203,"area":null},{"id":"2104.01538","title":"Hypercorrelation Squeeze for Few-Shot Segmentation","created":"2021-04-04","cited_by_count":193,"area":null},{"id":"2306.15880","title":"Towards Open Vocabulary Learning: A Survey","created":"2023-06-28","cited_by_count":166,"area":null},{"id":"2205.06743","title":"A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities","created":"2022-05-13","cited_by_count":163,"area":null},{"id":"2408.00874","title":"Medical SAM 2: Segment medical images as video via Segment Anything Model 2","created":"2024-08-01","cited_by_count":154,"area":null},{"id":"2203.15102","title":"Rethinking Semantic Segmentation: A Prototype View","created":"2022-03-28","cited_by_count":140,"area":null},{"id":"2106.02320","title":"Few-Shot Segmentation via Cycle-Consistent Transformer","created":"2021-06-04","cited_by_count":133,"area":null},{"id":"2203.07615","title":"Learning What Not to Segment: A New Perspective on Few-Shot Segmentation","created":"2022-03-15","cited_by_count":120,"area":null},{"id":"2108.03032","title":"Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer","created":"2021-08-06","cited_by_count":116,"area":null},{"id":"2207.10866","title":"Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation","created":"2022-07-22","cited_by_count":114,"area":null},{"id":"2103.06342","title":"Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations","created":"2021-03-10","cited_by_count":96,"area":null},{"id":"2207.11549","title":"Self-Support Few-Shot Semantic Segmentation","created":"2022-07-23","cited_by_count":96,"area":null},{"id":"2103.16129","title":"Self-Guided and Cross-Guided Learning for Few-Shot Segmentation","created":"2021-03-30","cited_by_count":92,"area":null},{"id":"2304.06131","title":"UniverSeg: Universal Medical Image Segmentation","created":"2023-04-12","cited_by_count":91,"area":null},{"id":"2103.04379","title":"Repurposing GANs for One-shot Semantic Part Segmentation","created":"2021-03-07","cited_by_count":88,"area":null},{"id":"2203.02909","title":"Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation","created":"2022-03-06","cited_by_count":87,"area":null},{"id":"2303.14652","title":"Hierarchical Dense Correlation Distillation for Few-Shot Segmentation","created":"2023-03-26","cited_by_count":84,"area":null},{"id":"2106.11944","title":"MetaAvatar: Learning Animatable Clothed Human Models from Few Depth Images","created":"2021-06-22","cited_by_count":78,"area":null},{"id":"2307.00855","title":"Review of Large Vision Models and Visual Prompt Engineering","created":"2023-07-03","cited_by_count":77,"area":null},{"id":"2402.17726","title":"VRP-SAM: SAM with Visual Reference Prompt","created":"2024-02-27","cited_by_count":75,"area":null},{"id":"2103.15402","title":"Mining Latent Classes for Few-shot Segmentation","created":"2021-03-29","cited_by_count":69,"area":null},{"id":"2207.08549","title":"Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation","created":"2022-07-18","cited_by_count":65,"area":null},{"id":"2108.00622","title":"Recurrent Mask Refinement for Few-Shot Medical Image Segmentation","created":"2021-08-02","cited_by_count":63,"area":null},{"id":"2307.09220","title":"A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future","created":"2023-07-18","cited_by_count":61,"area":null},{"id":"2203.04802","title":"NeRF-Pose: A First-Reconstruct-Then-Regress Approach for Weakly-supervised 6D Object Pose Estimation","created":"2022-03-09","cited_by_count":58,"area":null},{"id":"2210.06908","title":"Feature-Proxy Transformer for Few-Shot Segmentation","created":"2022-10-13","cited_by_count":58,"area":null},{"id":"2104.11692","title":"A Closer Look at Self-training for Zero-Label Semantic Segmentation","created":"2021-04-21","cited_by_count":57,"area":null},{"id":"2205.04903","title":"Learning Non-target Knowledge for Few-shot Semantic Segmentation","created":"2022-05-10","cited_by_count":57,"area":null},{"id":"2108.02958","title":"Learning Meta-class Memory for Few-Shot Semantic Segmentation","created":"2021-08-06","cited_by_count":56,"area":null},{"id":"2406.10729","title":"A Comprehensive Survey of Foundation Models in Medicine","created":"2024-06-15","cited_by_count":56,"area":null},{"id":"2103.13318","title":"Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types","created":"2021-03-24","cited_by_count":54,"area":null},{"id":"2108.06536","title":"Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation","created":"2021-08-14","cited_by_count":53,"area":null},{"id":"2309.11331","title":"Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism","created":"2023-09-20","cited_by_count":51,"area":null},{"id":"2206.06122","title":"Singular Value Fine-tuning: Few-shot Segmentation requires Few-parameters Fine-tuning","created":"2022-06-13","cited_by_count":50,"area":null},{"id":"2311.16926","title":"LLaFS: When Large Language Models Meet Few-Shot Segmentation","created":"2023-11-28","cited_by_count":48,"area":null},{"id":"2103.01077","title":"Universal-Prototype Enhancing for Few-Shot Object Detection","created":"2021-03-01","cited_by_count":43,"area":null},{"id":"2204.10638","title":"Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation","created":"2022-04-22","cited_by_count":43,"area":null},{"id":"2304.04748","title":"Exploring Effective Factors for Improving Visual In-Context Learning","created":"2023-04-10","cited_by_count":43,"area":null},{"id":"2402.03094","title":"Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector","created":"2024-02-05","cited_by_count":43,"area":null},{"id":"2203.02048","title":"Anomaly Detection-Inspired Few-Shot Medical Image Segmentation Through Self-Supervision With Supervoxels","created":"2022-03-03","cited_by_count":42,"area":null},{"id":"2211.15444","title":"DAMO-YOLO : A Report on Real-Time Object Detection Design","created":"2022-11-23","cited_by_count":38,"area":null},{"id":"2305.10300","title":"One-Prompt to Segment All Medical Images","created":"2023-05-17","cited_by_count":38,"area":null},{"id":"2408.04961","title":"In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation","created":"2024-08-09","cited_by_count":38,"area":null},{"id":"2210.06780","title":"Intermediate Prototype Mining Transformer for Few-Shot Semantic Segmentation","created":"2022-10-13","cited_by_count":37,"area":null},{"id":"2108.08518","title":"Few-shot Segmentation with Optimal Transport Matching and Message Flow","created":"2021-08-19","cited_by_count":36,"area":null},{"id":"2207.05515","title":"Compound Prototype Matching for Few-shot Action Recognition","created":"2022-07-12","cited_by_count":35,"area":null},{"id":"2410.06964","title":"Bridge the Points: Graph-based Few-shot Segment Anything Semantically","created":"2024-10-09","cited_by_count":35,"area":null},{"id":"2212.03967","title":"Few-shot Medical Image Segmentation with Cycle-resemblance Attention","created":"2022-12-07","cited_by_count":33,"area":null},{"id":"2308.09294","title":"Self-Calibrated Cross Attention Network for Few-Shot Segmentation","created":"2023-08-18","cited_by_count":32,"area":null},{"id":"2109.13788","title":"PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask","created":"2021-09-28","cited_by_count":31,"area":null},{"id":"2108.09917","title":"Towards Real-world X-ray Security Inspection: A High-Quality Benchmark and Lateral Inhibition Module for Prohibited Items Detection","created":"2021-08-23","cited_by_count":30,"area":null},{"id":"2209.03712","title":"Unsupervised Video Object Segmentation via Prototype Memory Network","created":"2022-09-08","cited_by_count":30,"area":null},{"id":"2401.08407","title":"Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining","created":"2024-01-16","cited_by_count":30,"area":null},{"id":"2112.11699","title":"Few-Shot Object Detection: A Comprehensive Survey","created":"2021-12-22","cited_by_count":29,"area":null},{"id":"2303.14969","title":"Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching","created":"2023-03-27","cited_by_count":29,"area":null},{"id":"2411.18941","title":"Revealing Key Details to See Differences: A Novel Prototypical Perspective for Skeleton-based Action Recognition","created":"2024-11-28","cited_by_count":29,"area":null},{"id":"2204.09903","title":"Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation","created":"2022-04-21","cited_by_count":28,"area":null},{"id":"2309.04825","title":"Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer","created":"2023-09-09","cited_by_count":28,"area":null},{"id":"2207.07898","title":"SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection","created":"2022-07-16","cited_by_count":26,"area":null},{"id":"2305.14335","title":"Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation","created":"2023-05-23","cited_by_count":26,"area":null},{"id":"2406.08372","title":"APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation","created":"2024-06-12","cited_by_count":26,"area":null},{"id":"2109.13930","title":"All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation","created":"2021-09-28","cited_by_count":25,"area":null},{"id":"2203.15712","title":"Integrative Few-Shot Learning for Classification and Segmentation","created":"2022-03-29","cited_by_count":25,"area":null},{"id":"2211.08681","title":"Interclass Prototype Relation for Few-Shot Segmentation","created":"2022-11-16","cited_by_count":25,"area":null},{"id":"2305.13864","title":"MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation","created":"2023-05-23","cited_by_count":25,"area":null},{"id":"2308.08930","title":"Point-aware Interaction and CNN-induced Refinement Network for RGB-D Salient Object Detection","created":"2023-08-17","cited_by_count":25,"area":null},{"id":"2208.11451","title":"Q-Net: Query-Informed Few-Shot Medical Image Segmentation","created":"2022-08-24","cited_by_count":24,"area":null},{"id":"2307.03407","title":"Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation","created":"2023-07-07","cited_by_count":24,"area":null},{"id":"2106.00184","title":"Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation","created":"2021-06-01","cited_by_count":23,"area":null},{"id":"2208.00306","title":"Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation","created":"2022-07-30","cited_by_count":23,"area":null},{"id":"2103.11015","title":"Video Class Agnostic Segmentation Benchmark for Autonomous Driving","created":"2021-03-19","cited_by_count":22,"area":null},{"id":"2105.08982","title":"Prototype Guided Federated Learning of Visual Feature Representations","created":"2021-05-19","cited_by_count":22,"area":null},{"id":"2205.14942","title":"Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles","created":"2022-05-30","cited_by_count":22,"area":null},{"id":"2211.09233","title":"Prompt Tuning for Parameter-efficient Medical Image Segmentation","created":"2022-11-16","cited_by_count":22,"area":null},{"id":"2211.14126","title":"A Strong Baseline for Generalized Few-Shot Semantic Segmentation","created":"2022-11-25","cited_by_count":22,"area":null},{"id":"2301.01208","title":"Mask Matching Transformer for Few-Shot Segmentation","created":"2022-12-05","cited_by_count":22,"area":null},{"id":"2301.08160","title":"FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network","created":"2023-01-19","cited_by_count":22,"area":null},{"id":"2312.15715","title":"UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces","created":"2023-12-25","cited_by_count":22,"area":null},{"id":"2402.17614","title":"Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation","created":"2024-02-27","cited_by_count":22,"area":null},{"id":"2206.09667","title":"MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation","created":"2022-06-20","cited_by_count":21,"area":null},{"id":"2303.15591","title":"Learning Expressive Prompting With Residuals for Vision Transformers","created":"2023-03-27","cited_by_count":21,"area":null},{"id":"2310.14277","title":"A Survey on Continual Semantic Segmentation: Theory, Challenge, Method and Application","created":"2023-10-22","cited_by_count":21,"area":null},{"id":"2405.08458","title":"Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation","created":"2024-05-14","cited_by_count":20,"area":null},{"id":"2408.08813","title":"Retrieval-augmented Few-shot Medical Image Segmentation with Foundation Models","created":"2024-08-16","cited_by_count":20,"area":null},{"id":"2204.01208","title":"Attribute Prototype Network for Any-Shot Learning","created":"2022-04-04","cited_by_count":19,"area":null},{"id":"2303.13867","title":"Few Shot Medical Image Segmentation with Cross Attention Transformer","created":"2023-03-24","cited_by_count":19,"area":null},{"id":"2307.14397","title":"A Survey on Generative Modeling with Limited Data, Few Shots, and Zero Shot","created":"2023-07-26","cited_by_count":19,"area":null},{"id":"2308.03177","title":"Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement","created":"2023-08-06","cited_by_count":19,"area":null},{"id":"2308.07539","title":"Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond","created":"2023-08-15","cited_by_count":19,"area":null},{"id":"2407.09842","title":"Eliminating Feature Ambiguity for Few-Shot Segmentation","created":"2024-07-13","cited_by_count":19,"area":null},{"id":"2212.04673","title":"MSI: Maximize Support-Set Information for Few-Shot Segmentation","created":"2022-12-09","cited_by_count":18,"area":null},{"id":"2308.16466","title":"Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-Learning","created":"2023-08-31","cited_by_count":18,"area":null},{"id":"2103.10178","title":"A Location-Sensitive Local Prototype Network for Few-Shot Medical Image Segmentation","created":"2021-03-18","cited_by_count":17,"area":null},{"id":"2108.05293","title":"Few-Shot Segmentation with Global and Local Contrastive Learning","created":"2021-08-11","cited_by_count":17,"area":null},{"id":"2110.03674","title":"Dense Gaussian Processes for Few-Shot Segmentation","created":"2021-10-07","cited_by_count":17,"area":null},{"id":"2308.13469","title":"RestNet: Boosting Cross-Domain Few-Shot Segmentation with Residual Transformation Network","created":"2023-08-25","cited_by_count":17,"area":null}],"next_cursor":"100"}