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Semantic Segmentation

Papers

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Showing 1926–1950 of 14763 papers

TitleStatusHype
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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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