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Box-Supervised Instance Segmentation with Level Set Evolution
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
Adaptive Agent Transformer for Few-Shot Segmentation
Waymo Open Dataset: Panoramic Video Panoptic Segmentation
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
Perceptual Artifacts Localization for Inpainting
2D Amodal Instance Segmentation Guided by 3D Shape Prior
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation
Dense Gaussian Processes for Few-Shot Segmentation
3D Instances as 1D Kernels
TransMatting: Enhancing Transparent Objects Matting with Transformers
MVSalNet:Multi-View Augmentation for RGB-D Salient Object Detection
k-Means Mask Transformer
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment
Interclass Prototype Relation for Few-Shot Segmentation
Slim Scissors: Segmenting Thin Object from Synthetic Background
Abstracting Sketches through Simple Primitives
Multi-Scale and Cross-Scale Contrastive Learning for Semantic Segmentation
One-Trimap Video Matting
D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation
Learning Quality-Aware Dynamic Memory for Video Object Segmentation
Learning Implicit Feature Alignment Function for Semantic Segmentation
Quantum Motion Segmentation
Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation
Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation
Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter
Union-Set Multi-source Model Adaptation for Semantic Segmentation
Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
Global Spectral Filter Memory Network for Video Object Segmentation
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
Learning Topological Interactions for Multi-Class Medical Image Segmentation
Unsupervised Segmentation in Real-World Images via Spelke Object Inference
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model.
Point Primitive Transformer for Long-Term 4D Point Cloud Video Understanding
Adaptive Agent Transformer for Few-Shot Segmentation
Waymo Open Dataset: Panoramic Video Panoptic Segmentation
TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation
AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications
Perceptual Artifacts Localization for Inpainting
2D Amodal Instance Segmentation Guided by 3D Shape Prior
Data Efficient 3D Learner via Knowledge Transferred from 2D Model
Adaptive Spatial-BCE Loss for Weakly Supervised Semantic Segmentation
Dense Gaussian Processes for Few-Shot Segmentation
3D Instances as 1D Kernels
TransMatting: Enhancing Transparent Objects Matting with Transformers
MVSalNet:Multi-View Augmentation for RGB-D Salient Object Detection
k-Means Mask Transformer
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness
Adversarial Erasing Framework via Triplet with Gated Pyramid Pooling Layer for Weakly Supervised Semantic Segmentation
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment
Interclass Prototype Relation for Few-Shot Segmentation
Slim Scissors: Segmenting Thin Object from Synthetic Background
Abstracting Sketches through Simple Primitives
Multi-Scale and Cross-Scale Contrastive Learning for Semantic Segmentation
One-Trimap Video Matting
D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation
Learning Quality-Aware Dynamic Memory for Video Object Segmentation
Learning Implicit Feature Alignment Function for Semantic Segmentation
Quantum Motion Segmentation
Instance As Identity: A Generic Online Paradigm for Video Instance Segmentation
Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation
Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance Segmenter
Union-Set Multi-source Model Adaptation for Semantic Segmentation
Point MixSwap: Attentional Point Cloud Mixing via Swapping Matched Structural Divisions
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation
SPSN: Superpixel Prototype Sampling Network for RGB-D Salient Object Detection
Global Spectral Filter Memory Network for Video Object Segmentation
Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer
RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation
Learning Topological Interactions for Multi-Class Medical Image Segmentation
Unsupervised Segmentation in Real-World Images via Spelke Object Inference
A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-trained Vision-Language Model.