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Semantic Segmentation

Papers

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Showing 12551–12600 of 14763 papers

TitleStatusHype
CI-Net: Contextual Information for Joint Semantic Segmentation and Depth Estimation—0
ciscNet -- A Single-Branch Cell Instance Segmentation and Classification Network—0
MKConv: Multidimensional Feature Representation for Point Cloud Analysis—0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation—0
Class Attention Network for Semantic Segmentation of Remote Sensing Images—0
Class-Aware Adversarial Transformers for Medical Image Segmentation—0
Class Balanced Dynamic Acquisition for Domain Adaptive Semantic Segmentation using Active Learning—0
Class Balanced PixelNet for Neurological Image Segmentation—0
Class Based Thresholding in Early Exit Semantic Segmentation Networks—0
Class-Conditional Domain Adaptation on Semantic Segmentation—0
Class-Discriminative Attention Maps for Vision Transformers—0
Class Enhancement Losses with Pseudo Labels for Zero-shot Semantic Segmentation—0
Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach—0
Classification Drives Geographic Bias in Street Scene Segmentation—0
Classification of Hematoma: Joint Learning of Semantic Segmentation and Classification—0
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation—0
Class-Imbalanced Semi-Supervised Learning for Large-Scale Point Cloud Semantic Segmentation via Decoupling Optimization—0
Class-level Multiple Distributions Representation are Necessary for Semantic Segmentation—0
Classroom Slide Narration System—0
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation—0
Class-wise Dynamic Graph Convolution for Semantic Segmentation—0
Collaborative Learning for Enhanced Unsupervised Domain Adaptation—0
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference—0
CleverDistiller: Simple and Spatially Consistent Cross-modal Distillation—0
Click Carving: Segmenting Objects in Video with Point Clicks—0
Clicking Matters:Towards Interactive Human Parsing—0
Clicks2Line: Using Lines for Interactive Image Segmentation—0
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation—0
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations—0
ClickTrack: Towards Real-time Interactive Single Object Tracking—0
Clickstream analysis for crowd-based object segmentation with confidence—0
CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation—0
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor—0
CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP—0
CLIP for Lightweight Semantic Segmentation—0
CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation—0
CLIP-S^4: Language-Guided Self-Supervised Semantic Segmentation—0
CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation—0
CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation—0
CLIP with Quality Captions: A Strong Pretraining for Vision Tasks—0
CLiSA: A Hierarchical Hybrid Transformer Model using Orthogonal Cross Attention for Satellite Image Cloud Segmentation—0
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation—0
Closed-Loop Adaptation for Weakly-Supervised Semantic Segmentation—0
Closer Look at the Uncertainty Estimation in Semantic Segmentation under Distributional Shift—0
Closer to Ground Truth: Realistic Shape and Appearance Labeled Data Generation for Unsupervised Underwater Image Segmentation—0
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation—0
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation—0
Closing the Reality Gap with Unsupervised Sim-to-Real Image Translation—0
Clothes Grasping and Unfolding Based on RGB-D Semantic Segmentation—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