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Semantic Segmentation

Papers

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Showing 1901–1950 of 14763 papers

TitleStatusHype
Semantic Segmentation from Image Labels by Reconstruction from Structured DecompositionCode0
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation—0
SOOD-ImageNet: a Large-Scale Dataset for Semantic Out-Of-Distribution Image Classification and Semantic SegmentationCode0
Image-to-Lidar Relational Distillation for Autonomous Driving Data—0
Change-Aware Siamese Network for Surface Defects Segmentation under Complex BackgroundCode1
Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images—0
Curriculum Prompting Foundation Models for Medical Image SegmentationCode0
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image SegmentationCode1
Plant detection from ultra high resolution remote sensing images: A Semantic Segmentation approach based on fuzzy loss—0
Structuring a Training Strategy to Robustify Perception Models with Realistic Image Augmentations—0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging—0
Generative AI Enables Medical Image Segmentation in Ultra Low-Data RegimesCode2
Abstracted Gaussian Prototypes for One-Shot Concept LearningCode0
Stochastic Layer-Wise Shuffle: A Good Practice to Improve Vision Mamba TrainingCode1
Transient Fault Tolerant Semantic Segmentation for Autonomous DrivingCode0
LV-UNet: A Lightweight and Vanilla Model for Medical Image SegmentationCode1
Discriminative Spatial-Semantic VOS Solution: 1st Place Solution for 6th LSVOSCode0
Improving Weakly-supervised Video Instance Segmentation by Leveraging Spatio-temporal ConsistencyCode1
MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation—0
EvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More—0
Multi-source Domain Adaptation for Panoramic Semantic SegmentationCode0
SODAWideNet++: Combining Attention and Convolutions for Salient Object DetectionCode0
Unleashing the Temporal-Spatial Reasoning Capacity of GPT for Training-Free Audio and Language Referenced Video Object SegmentationCode2
SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors—0
DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries—0
InstanSeg: an embedding-based instance segmentation algorithm optimized for accurate, efficient and portable cell segmentationCode3
TeFF: Tracking-enhanced Forgetting-free Few-shot 3D LiDAR Semantic SegmentationCode0
A Simple Baseline with Single-encoder for Referring Image Segmentation—0
Generalization Capabilities of Neural Cellular Automata for Medical Image Segmentation: A Robust and Lightweight Approach—0
MROVSeg: Breaking the Resolution Curse of Vision-Language Models in Open-Vocabulary Image Segmentation—0
Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images—0
Adversarial Manhole: Challenging Monocular Depth Estimation and Semantic Segmentation Models with Patch AttackCode0
Knowledge Discovery in Optical Music Recognition: Enhancing Information Retrieval with Instance Segmentation—0
Applying ViT in Generalized Few-shot Semantic SegmentationCode0
An Investigation on The Position Encoding in Vision-Based Dynamics Prediction—0
A Survey of Camouflaged Object Detection and BeyondCode3
Physically Feasible Semantic SegmentationCode0
ShapeMamba-EM: Fine-Tuning Foundation Model with Local Shape Descriptors and Mamba Blocks for 3D EM Image Segmentation—0
LoG-VMamba: Local-Global Vision Mamba for Medical Image SegmentationCode1
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping—0
Few-Shot 3D Volumetric Segmentation with Multi-Surrogate Fusion—0
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation—0
CV-MOS: A Cross-View Model for Motion SegmentationCode0
MSVM-UNet: Multi-Scale Vision Mamba UNet for Medical Image SegmentationCode2
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation—0
Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation—0
ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation—0
PAM: A Propagation-Based Model for Segmenting Any 3D Objects across Multi-Modal Medical Images—0
Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation—0
TripleMixer: A 3D Point Cloud Denoising Model for Adverse WeatherCode2
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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