SOTAVerified

Semantic Segmentation

Papers

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Showing 10751–10800 of 14763 papers

TitleStatusHype
SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes—0
Scene-Generalizable Interactive Segmentation of Radiance Fields—0
Scene Labeling with Contextual Hierarchical Models—0
Scene Labeling With LSTM Recurrent Neural Networks—0
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-Training on Indoor Segmentation?—0
Scene Text Detection via Holistic, Multi-Channel Prediction—0
Layout Agnostic Scene Text Image Synthesis with Diffusion Models—0
Scene Text Recognition from Two-Dimensional Perspective—0
Scene Understanding for Autonomous Manipulation with Deep Learning—0
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation—0
Schema matching using Gaussian mixture models with Wasserstein distance—0
SCHEME: Scalable Channel Mixer for Vision Transformers—0
SCMix: Stochastic Compound Mixing for Open Compound Domain Adaptation in Semantic Segmentation—0
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation—0
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes—0
SCOPE: Structural Continuity Preservation for Medical Image Segmentation—0
Score-Based Generative Models for Medical Image Segmentation using Signed Distance Functions—0
Scoring Root Necrosis in Cassava Using Semantic Segmentation—0
Screen Content Image Segmentation Using Robust Regression and Sparse Decomposition—0
Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization—0
Screen Content Image Segmentation Using Sparse-Smooth Decomposition—0
Screen Content Image Segmentation Using Least Absolute Deviation Fitting—0
ScribbleBox: Interactive Annotation Framework for Video Object Segmentation—0
ScribbleSeg: Scribble-based Interactive Image Segmentation—0
Scribble-Supervised Medical Image Segmentation via Dual-Branch Network and Dynamically Mixed Pseudo Labels Supervision—0
Scribble-Supervised Semantic Segmentation Inference—0
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace—0
ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation—0
SCRNet: a Retinex Structure-based Low-light Enhancement Model Guided by Spatial Consistency—0
SCR: Smooth Contour Regression with Geometric Priors—0
Superpoint-guided Semi-supervised Semantic Segmentation of 3D Point Clouds—0
SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation—0
SDF4CHD: Generative Modeling of Cardiac Anatomies with Congenital Heart Defects—0
SDI-Paste: Synthetic Dynamic Instance Copy-Paste for Video Instance Segmentation—0
S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation—0
SDNet: Semantically Guided Depth Estimation Network—0
SDOD:Real-time Segmenting and Detecting 3D Object by Depth—0
SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment—0
Sea ice detection using concurrent multispectral and synthetic aperture radar imagery—0
Sea Ice Extraction via Remote Sensed Imagery: Algorithms, Datasets, Applications and Challenges—0
SEAL: Self-supervised Embodied Active Learning using Exploration and 3D Consistency—0
SeamSeg: Video Object Segmentation using Patch Seams—0
Search3D: Hierarchical Open-Vocabulary 3D Segmentation—0
Searching for Efficient Multi-Scale Architectures for Dense Image Prediction—0
Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation—0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany—0
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification—0
SeaTurtleID2022: A long-span dataset for reliable sea turtle re-identification—0
SeC: Advancing Complex Video Object Segmentation via Progressive Concept Construction—0
SeCo-INR: Semantically Conditioned Implicit Neural Representations for Improved Medical Image Super-Resolution—0
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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
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation 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