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Semantic Segmentation

Papers

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Showing 951–1000 of 14763 papers

TitleStatusHype
TALoS: Enhancing Semantic Scene Completion via Test-time Adaptation on the Line of SightCode1
EViT-Unet: U-Net Like Efficient Vision Transformer for Medical Image Segmentation on Mobile and Edge DevicesCode1
Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image SegmentationCode1
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote SensingCode1
LESS: Label-Efficient and Single-Stage Referring 3D SegmentationCode1
EP-SAM: Weakly Supervised Histopathology Segmentation via Enhanced Prompt with Segment AnythingCode1
VividMed: Vision Language Model with Versatile Visual Grounding for MedicineCode1
Agent Skill Acquisition for Large Language Models via CycleQDCode1
RClicks: Realistic Click Simulation for Benchmarking Interactive SegmentationCode1
CAFuser: Condition-Aware Multimodal Fusion for Robust Semantic Perception of Driving ScenesCode1
V2M: Visual 2-Dimensional Mamba for Image Representation LearningCode1
GlobalMamba: Global Image Serialization for Vision MambaCode1
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image SegmentationCode1
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing AttentionCode1
Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image SegmentationCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
Bridge the Points: Graph-based Few-shot Segment Anything SemanticallyCode1
QuadMamba: Learning Quadtree-based Selective Scan for Visual State Space ModelCode1
UnSeGArmaNet: Unsupervised Image Segmentation using Graph Neural Networks with Convolutional ARMA FiltersCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
Not All Diffusion Model Activations Have Been Evaluated as Discriminative FeaturesCode1
Unleashing the Potential of the Diffusion Model in Few-shot Semantic SegmentationCode1
Med-TTT: Vision Test-Time Training model for Medical Image SegmentationCode1
PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image SegmentationCode1
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature GraftingCode1
AUCSeg: AUC-oriented Pixel-level Long-tail Semantic SegmentationCode1
Automating MedSAM by Learning Prompts with Weak Few-Shot SupervisionCode1
All-in-One Image Coding for Joint Human-Machine Vision with Multi-Path AggregationCode1
X-Prompt: Multi-modal Visual Prompt for Video Object SegmentationCode1
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image SegmentationCode1
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic SegmentationCode1
CAD: Memory Efficient Convolutional Adapter for Segment AnythingCode1
DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual TasksCode1
The BRAVO Semantic Segmentation Challenge Results in UNCV2024Code1
Lidar Panoptic Segmentation in an Open WorldCode1
GAInS: Gradient Anomaly-aware Biomedical Instance SegmentationCode1
Exploring Fine-Grained Image-Text Alignment for Referring Remote Sensing Image SegmentationCode1
Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image SegmentationCode1
MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image SegmentationCode1
MSDNet: Multi-Scale Decoder for Few-Shot Semantic Segmentation via Transformer-Guided PrototypingCode1
HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving ScenariosCode1
TTT-Unet: Enhancing U-Net with Test-Time Training Layers for Biomedical Image SegmentationCode1
Generalized Few-Shot Semantic Segmentation in Remote Sensing: Challenge and BenchmarkCode1
MetaFormer and CNN Hybrid Model for Polyp Image SegmentationCode1
SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer NetworksCode1
Open-Vocabulary Remote Sensing Image Semantic SegmentationCode1
Do Vision Foundation Models Enhance Domain Generalization in Medical Image Segmentation?Code1
2D Semantic-Guided Semantic Scene CompletionCode1
Swin-LiteMedSAM: A Lightweight Box-Based Segment Anything Model for Large-Scale Medical Image DatasetsCode1
Sam2Rad: A Segmentation Model for Medical Images with Learnable PromptsCode1
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified