| Efficient Semantic Segmentation by Altering Resolutions for Compressed Videos |
 |
 |
 |
| Vision Transformers are Good Mask Auto-Labelers |
 |
 |
|
| Visual Recognition by Request |
 |
 |
|
| Ultra-High Resolution Segmentation with Ultra-Rich Context: A Novel Benchmark |
 |
 |
➖ |
| AttentionShift: Iteratively Estimated Part-based Attention Map for Pointly Supervised Instance Segmentation |
 |
|
➖ |
| MDQE: Mining Discriminative Query Embeddings to Segment Occluded Instances on Challenging Videos |
 |
 |
|
| Look Before You Match: Instance Understanding Matters in Video Object Segmentation |
➖ |
 |
|
| SIM: Semantic-Aware Instance Mask Generation for Box-Supervised Instance Segmentation |
 |
 |
➖ |
| EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation without Scene Supervision |
 |
 |
|
| Camouflaged Object Detection with Feature Decomposition and Edge Reconstruction |
 |
|
➖ |
| LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding |
 |
 |
|
| OneFormer: One Transformer to Rule Universal Image Segmentation |
 |
 |
|
| Mask-Free Video Instance Segmentation |
 |
 |
|
| Less is more: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation |
 |
 |
|
| InstMove: Instance Motion for Object-Centric Video Segmentation |
 |
 |
|
| The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation |
 |
 |
|
| Edge-Aware Regional Message Passing Controller for Image Forgery Localization |
➖ |
|
|
Interactive Segmentation as Gaussion Process Classification
 |
 |
 |
|
| Semantic-Promoted Debiasing and Background Disambiguation for Zero-Shot Instance Segmentation |
 |
 |
|
| Adversarially Masking Synthetic to Mimic Real: Adaptive Noise Injection for Point Cloud Segmentation Adaptation |
➖ |
|
|
| Generative Semantic Segmentation |
 |
 |
|
| Modeling the Distributional Uncertainty for Salient Object Detection Models |
 |
|
|
| Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation |
➖ |
|
|
| Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation |
 |
 |
|
| DynaMask: Dynamic Mask Selection for Instance Segmentation |
 |
 |
➖ |
| MSeg3D: Multi-Modal 3D Semantic Segmentation for Autonomous Driving |
 |
 |
|
Generalizable Local Feature Pre-Training for Deformable Shape Analysis
|
 |
 |
➖ |
Understanding and Improving Features Learned in Deep Functional Maps
|
 |
 |
➖ |
| G-MSM: Unsupervised Multi-Shape Matching with Graph-based Affinity Priors |
 |
 |
|
| Continual Semantic Segmentation with Automatic Memory Sample Selection |
➖ |
 |
|
| FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation |
 |
 |
➖ |
| Object Discovery from Motion-Guided Tokens |
 |
 |
|
| Efficient Mask Correction for Click-based Interactive Image Segmentation |
 |
|
➖ |
| Balancing Logit Variation for Long-Tailed Semantic Segmentation |
 |
 |
➖ |
| Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation |
➖ |
 |
|
| Learning Open-Vocabulary Semantic Segmentation Models from Natural Language Supervision |
 |
 |
|
| Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering |
➖ |
|
➖ |
| BUOL: A Bottom-Up Framework with Occupancy-Aware Lifting for Panoptic 3D Scene Reconstruction from a Single Image |
 |
 |
|
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation
|
|
 |
➖ |
| CCuantuMM: Cycle-Consistent Quantum-Hybrid Matching of Multiple Shapes |
 |
 |
|
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation
|
 |
 |
|
| UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer via Hierarchical Mask Calibration |
➖ |
 |
|
| FedSeg: Class-Heterogeneous Federated Learning for Semantic Segmentation |
➖ |
|
|
| Understanding Imbalanced Semantic Segmentation through Neural Collapse |
 |
 |
|
| Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation |
 |
 |
➖ |
| PartSLIP: Low-Shot Part Segmentation for 3D Point Clouds via Pretrained Image-Language Models |
 |
 |
|
| PartDistillation: Learning Parts from Instance Segmentation |
 |
|
|
| Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings |
 |
 |
|
| FastInst: A Simple Query-based Model for Real-Time Instance Segmentation |
 |
 |
|
| SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation |
➖ |
|
➖ |
| Semantic Human Parsing via Scalable Semantic Transfer Over Multiple Label Domains |
 |
 |
|
| Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework |
➖ |
|
|
| Hunting Sparsity: Density-Guided Contrastive Learning for Semi-Supervised Semantic Segmentation |
 |
|
➖ |
| A Generalized Framework for Video Instance Segmentation |
 |
 |
➖ |
| SimpSON: Simplifying Photo Cleanup with Single-Click Distracting Object Segmentation Network |
 |
 |
|
| Complete-to-Partial 4D Distillation for Self-Supervised Point Cloud Sequence Representation Learning |
 |
 |
|
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
|
 |
 |
|
| Ultrahigh Resolution Image/Video Matting with Spatio-Temporal Sparsity |
 |
|
➖ |
| Style Projected Clustering for Domain Generalized Semantic Segmentation |
 |
|
|
| MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds |
 |
 |
|
| Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation |
 |
 |
|
| Dynamic Focus-Aware Positional Queries for Semantic Segmentation |
 |
 |
|
| HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation |
 |
 |
|
Marching-Primitives: Shape Abstraction from Signed Distance Function
|
 |
 |
|
| Multimodal Industrial Anomaly Detection via Hybrid Fusion |
 |
 |
|
| CLIP is also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation |
 |
 |
|
| Weakly Supervised Semantic Segmentation via Adversarial Learning of Classifier and Reconstructor |
 |
|
➖ |
| Conjugate Product Graphs for Globally Optimal 2D-3D Shape Matching |
 |
 |
|
| Interactive Segmentation of Radiance Fields |
 |
 |
|
| Boundary-Enhanced Co-Training for Weakly Supervised Semantic Segmentation |
 |
|
|
| Learning Multi-Modal Class-Specific Tokens for Weakly Supervised Dense Object Localization |
➖ |
|
➖ |
Quantum Multi-Model Fitting
|
 |
 |
|
| Two-Shot Video Object Segmentation |
 |
 |
|
| End-to-End Video Matting with Trimap Propagation |
 |
|
|
| ISBNet: A 3D Point Cloud Instance Segmentation Network with Instance-Aware Sampling and Box-Aware Dynamic Convolution |
 |
 |
|
| On Calibrating Semantic Segmentation Models: Analyses and an Algorithm |
 |
 |
➖ |
| Explicit Visual Prompting for Low-Level Structure Segmentations |
 |
 |
|
| Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching |
➖ |
 |
|
Incrementer: Transformer for Class-Incremental Semantic Segmentation with Knowledge Distillation Focusing on Old Class
|
➖ |
|
|
Camouflaged Instance Segmentation via Explicit De-Camouflaging
|
 |
|
|
| Leveraging Hidden Positives for Unsupervised Semantic Segmentation |
 |
 |
|
| Rethinking the Correlation in Few-Shot Segmentation: A Buoys View |
 |
|
|
| Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures |
 |
|
|
| Mask-Guided Matting in the Wild |
 |
|
➖ |
| Visual Dependency Transformers: Dependency Tree Emerges from Reversed Attention |
 |
 |
|
| Conflict-based Cross-View Consistency for Semi-Supervised Semantic Segmentation |
 |
 |
|
| Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation |
 |
 |
|
Attention-based Point Cloud Edge Sampling
|
➖ |
 |
|
| DA Wand: Distortion-Aware Selection using Neural Mesh Parameterization |
 |
 |
|
| Extracting Class Activation Maps from Non-Discriminative Features as Well |
 |
 |
|
| Focused and Collaborative Feedback Integration for Interactive Image Segmentation |
 |
 |
|
| Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training with Saliency Prompt |
➖ |
 |
|
| Unsupervised 3D Shape Reconstruction by Part Retrieval and Assembly |
➖ |
 |
|
| MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation |
➖ |
 |
|
| Transformer Scale Gate for Semantic Segmentation |
➖ |
 |
➖ |
| PIDNet: A Real-Time Semantic Segmentation Network Inspired by PID Controllers |
 |
 |
|
Side Adapter Network for Open-Vocabulary Semantic Segmentation
|
 |
 |
➖ |
| Test Time Adaptation with Regularized Loss for Weakly Supervised Salient Object Detection |
➖ |
|
➖ |
| Feature Shrinkage Pyramid for Camouflaged Object Detection with Transformers |
 |
 |
|
| Reliability in Semantic Segmentation: Are we on the Right Track? |
 |
 |
|
Beyond mAP: Towards Better Evaluation of Instance Segmentation
|
➖ |
 |
➖ |
| Heat Diffusion based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation |
➖ |
|
➖ |
| Tree Instance Segmentation with Temporal Contour Graph |
 |
|
➖ |
| Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation with Exemplars |
➖ |
|
|
| Omnimatte3D: Associating Objects and their Effects in Unconstrained Monocular Video |
➖ |
|
|
| Learning Orthogonal Prototypes for Generalized Few-Shot Semantic Segmentation |
 |
|
➖ |
| Instance-Specific and Model-Adaptive Supervision for Semi-Supervised Semantic Segmentation |
 |
 |
|
| Improving Robustness of Semantic Segmentation to Motion-Blur using Class-Centric Augmentation |
 |
|
|
| IFSeg: Image-Free Semantic Segmentation via Vision-Language Model |
 |
 |
➖ |
| CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation |
➖ |
 |
|
| Pruning Parameterization with Bi-Level Optimization for Efficient Semantic Segmentation on the Edge |
➖ |
|
➖ |
