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Semantic Segmentation

Papers

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Showing 12601–12650 of 14763 papers

TitleStatusHype
Clothing Co-Parsing by Joint Image Segmentation and Labeling—0
Cloud Cover Nowcasting with Deep Learning—0
CloudTracks: A Dataset for Localizing Ship Tracks in Satellite Images of Clouds—0
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks—0
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation—0
Cluster Entropy: Active Domain Adaptation in Pathological Image Segmentation—0
Clustering and classification of low-dimensional data in explicit feature map domain: intraoperative pixel-wise diagnosis of adenocarcinoma of a colon in a liver—0
Clustering Approach Towards Image Segmentation: An Analytical Study—0
Clustering evolving data using kernel-based methods—0
Clustering on the Edge: Learning Structure in Graphs—0
Clustering using Vector Membership: An Extension of the Fuzzy C-Means Algorithm—0
ClusterNet: 3D Instance Segmentation in RGB-D Images—0
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation—0
Cluster-to-adapt: Few Shot Domain Adaptation for Semantic Segmentation across Disjoint Labels—0
ClusterViG: Efficient Globally Aware Vision GNNs via Image Partitioning—0
Cluttered Food Grasping with Adaptive Fingers and Synthetic-Data Trained Object Detection—0
C-MADA: Unsupervised Cross-Modality Adversarial Domain Adaptation framework for medical Image Segmentation—0
CML-MOTS: Collaborative Multi-task Learning for Multi-Object Tracking and Segmentation—0
CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation—0
CNN-aware Binary Map for General Semantic Segmentation—0
CNN-Based Deep Architecture for Reinforced Concrete Delamination Segmentation Through Thermography—0
CNN-based Preprocessing to Optimize Watershed-based Cell Segmentation in 3D Confocal Microscopy Images—0
CNN-based Semantic Segmentation using Level Set Loss—0
CNN-based synthesis of realistic high-resolution LiDAR data—0
CNN in CT Image Segmentation: Beyound Loss Function for Expoliting Ground Truth Images—0
CNN in MRF: Video Object Segmentation via Inference in A CNN-Based Higher-Order Spatio-Temporal MRF—0
CNN-Transformer Rectified Collaborative Learning for Medical Image Segmentation—0
CO2: Consistent Contrast for Unsupervised Visual Representation Learning—0
COARSE: Collaborative Pseudo-Labeling with Coarse Real Labels for Off-Road Semantic Segmentation—0
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images—0
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning—0
Coarse-to-Fine Domain Adaptive Semantic Segmentation with Photometric Alignment and Category-Center Regularization—0
Coarse-to-fine Semantic Localization with HD Map for Autonomous Driving in Structural Scenes—0
Coarse-to-fine Semantic Segmentation from Image-level Labels—0
Coarse-to-fine Task-driven Inpainting for Geoscience Images—0
Coarse-to-fine volumetric segmentation of teeth in Cone-Beam CT—0
CoBEVFusion: Cooperative Perception with LiDAR-Camera Bird's-Eye View Fusion—0
CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation—0
CoCo DistillNet: a Cross-layer Correlation Distillation Network for Pathological Gastric Cancer Segmentation—0
COCO_TS Dataset: Pixel-level Annotations Based on Weak Supervision for Scene Text Segmentation—0
CoDa-4DGS: Dynamic Gaussian Splatting with Context and Deformation Awareness for Autonomous Driving—0
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance—0
CoFi: Coarse-to-Fine ICP for LiDAR Localization in an Efficient Long-lasting Point Cloud Map—0
CoFiNet: Unveiling Camouflaged Objects with Multi-Scale Finesse—0
Coherent Loss: A Generic Framework for Stable Video Segmentation—0
Coherent Parametric Contours for Interactive Video Object Segmentation—0
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving—0
Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-Supervised Polyp Segmentation—0
Collaborative Attention Memory Network for Video Object Segmentation—0
Collaborative Boundary-aware Context Encoding Networks for Error Map Prediction—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