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Semantic Segmentation

Papers

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Showing 9651–9700 of 14763 papers

TitleStatusHype
Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network—0
Object Segmentation in Images using EEG Signals—0
Object Segmentation Tracking from Generic Video Cues—0
Object Segmentation with Audio Context—0
Obscured Wildfire Flame Detection By Temporal Analysis of Smoke Patterns Captured by Unmanned Aerial Systems—0
Observer variation-aware medical image segmentation by combining deep learning and surrogate-assisted genetic algorithms—0
Occluded Video Instance Segmentation: Dataset and ICCV 2021 Challenge—0
Occlusion-Aware Self-Supervised Monocular Depth Estimation for Weak-Texture Endoscopic Images—0
Occlusion Handling using Semantic Segmentation and Visibility-Based Rendering for Mixed Reality—0
Occlusion-Ordered Semantic Instance Segmentation—0
Occlusion Reasoning for Skeleton Extraction of Self-Occluded Tree Canopies—0
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network—0
OccuSeg: Occupancy-aware 3D Instance Segmentation—0
OCTID: Optical Coherence Tomography Image Database—0
OCU-Net: A Novel U-Net Architecture for Enhanced Oral Cancer Segmentation—0
ODFormer: Semantic Fundus Image Segmentation Using Transformer for Optic Nerve Head Detection—0
OdontoAI: A human-in-the-loop labeled data set and an online platform to boost research on dental panoramic radiographs—0
OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird's-eye-view Vehicle Semantic Segmentation—0
Offline Reinforcement Learning using Human-Aligned Reward Labeling for Autonomous Emergency Braking in Occluded Pedestrian Crossing—0
Offline-to-Online Knowledge Distillation for Video Instance Segmentation—0
Offloading Deep Learning Powered Vision Tasks from UAV to 5G Edge Server with Denoising—0
Offset Curves Loss for Imbalanced Problem in Medical Segmentation—0
Offshore Wind Plant Instance Segmentation Using Sentinel-1 Time Series, GIS, and Semantic Segmentation Models—0
OG: Equip vision occupancy with instance segmentation and visual grounding—0
OMH: Structured Sparsity via Optimally Matched Hierarchy for Unsupervised Semantic Segmentation—0
OmniCity: Omnipotent City Understanding with Multi-level and Multi-view Images—0
OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving—0
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation—0
OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding—0
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning—0
OmniVec: Learning robust representations with cross modal sharing—0
On Certified Generalization in Structured Prediction—0
On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving—0
On Deep Learning Techniques to Boost Monocular Depth Estimation for Autonomous Navigation—0
On-Device Unsupervised Image Segmentation—0
On distances, paths and connections for hyperspectral image segmentation—0
On Domain-Specific Pre-Training for Effective Semantic Perception in Agricultural Robotics—0
On Duality Of Multiple Target Tracking and Segmentation—0
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning—0
One-D-Piece: Image Tokenizer Meets Quality-Controllable Compression—0
On Efficient Real-Time Semantic Segmentation: A Survey—0
On Efficient Variants of Segment Anything Model: A Survey—0
One Kernel to Solve Nearly Everything: Unified 3D Binary Convolutions for Image Analysis—0
One Point, One Object: Simultaneous 3D Object Segmentation and 6-DOF Pose Estimation—0
ONeRF: Unsupervised 3D Object Segmentation from Multiple Views—0
OneSeg: Self-learning and One-shot Learning based Single-slice Annotation for 3D Medical Image Segmentation—0
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers—0
One-shot Localization and Segmentation of Medical Images with Foundation Models—0
One-Shot Online Testing of Deep Neural Networks Based on Distribution Shift Detection—0
One-shot Training for Video Object 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
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