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Semantic Segmentation

Papers

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Showing 1351–1400 of 14763 papers

TitleStatusHype
Box for Mask and Mask for Box: weak losses for multi-task partially supervised learningCode0
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation—0
Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps—0
HyperSeg: Towards Universal Visual Segmentation with Large Language ModelCode2
HSI-Drive v2.0: More Data for New Challenges in Scene Understanding for Autonomous Driving—0
ΩSFormer: Dual-Modal Ω-like Super-Resolution Transformer Network for Cross-scale and High-accuracy Terraced Field Vectorization Extraction—0
TinyViM: Frequency Decoupling for Tiny Hybrid Vision MambaCode2
MRIFE: A Mask-Recovering and Interactive-Feature-Enhancing Semantic Segmentation Network For Relic Landslide Detection—0
SAMWISE: Infusing Wisdom in SAM2 for Text-Driven Video SegmentationCode3
SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting—0
vesselFM: A Foundation Model for Universal 3D Blood Vessel SegmentationCode2
SCASeg: Strip Cross-Attention for Efficient Semantic Segmentation—0
A Bilayer Segmentation-Recombination Network for Accurate Segmentation of Overlapping C. elegans—0
Distilling Spectral Graph for Object-Context Aware Open-Vocabulary Semantic Segmentation—0
An Ensemble Approach for Brain Tumor Segmentation and Synthesis—0
semantic image synthesis of anime characters based on conditional generative adversarial networksCode0
A SAM-guided and Match-based Semi-Supervised Segmentation Framework for Medical ImagingCode1
SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models—0
Open-Vocabulary Octree-Graph for 3D Scene Understanding—0
Weakly supervised image segmentation for defect-based grading of fresh produceCode0
J-CaPA : Joint Channel and Pyramid Attention Improves Medical Image Segmentation—0
Scaling Spike-driven Transformer with Efficient Spike Firing Approximation TrainingCode2
CutS3D: Cutting Semantics in 3D for 2D Unsupervised Instance Segmentation—0
A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged RoadsCode0
Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking—0
Deformable Mamba for Wide Field of View SegmentationCode1
An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion ModelsCode2
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Models—0
A Review of Bayesian Uncertainty Quantification in Deep Probabilistic Image Segmentation—0
Learn from Foundation Model: Fruit Detection Model without Manual AnnotationCode1
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks—0
ResCLIP: Residual Attention for Training-free Dense Vision-language InferenceCode2
Self-Calibrated CLIP for Training-Free Open-Vocabulary SegmentationCode2
Integrating Deep Metric Learning with Coreset for Active Learning in 3D SegmentationCode0
Deep Learning for automated multi-scale functional field boundaries extraction using multi-date Sentinel-2 and PlanetScope imagery: Case Study of Netherlands and Pakistan—0
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation—0
Multi-scale Cascaded Large-Model for Whole-body ROI SegmentationCode0
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating TrainingCode1
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation—0
Quantum-enhanced unsupervised image segmentation for medical images analysis—0
Effective SAM Combination for Open-Vocabulary Semantic Segmentation—0
SegBook: A Simple Baseline and Cookbook for Volumetric Medical Image Segmentation—0
Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models—0
CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic SegmentationCode1
Revisiting the Integration of Convolution and Attention for Vision BackboneCode1
CompetitorFormer: Competitor Transformer for 3D Instance Segmentation—0
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow NetworkCode0
Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals—0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting—0
Entropy Bootstrapping for Weakly Supervised Nuclei Detection—0
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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