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Semantic Segmentation

Papers

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Showing 12101–12150 of 14763 papers

TitleStatusHype
X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection—0
X3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection—0
XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection—0
X-Distill: Improving Self-Supervised Monocular Depth via Cross-Task Distillation—0
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation—0
X-World: Accessibility, Vision, and Autonomy Meet—0
Y-CA-Net: A Convolutional Attention Based Network for Volumetric Medical Image Segmentation—0
YH-MINER: Multimodal Intelligent System for Natural Ecological Reef Metric Extraction—0
Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images—0
Y-net: Biomedical Image Segmentation and Clustering—0
YOLO2U-Net: Detection-Guided 3D Instance Segmentation for Microscopy—0
YOLO-MED : Multi-Task Interaction Network for Biomedical Images—0
YouMVOS: An Actor-Centric Multi-Shot Video Object Segmentation Dataset—0
You Only Click Once: Single Point Weakly Supervised 3D Instance Segmentation for Autonomous Driving—0
You Only Estimate Once: Unified, One-stage, Real-Time Category-level Articulated Object 6D Pose Estimation for Robotic Grasping—0
You Only Train Once—0
Your Image is My Video: Reshaping the Receptive Field via Image-To-Video Differentiable AutoAugmentation and Fusion—0
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark—0
Zero-BEV: Zero-shot Projection of Any First-Person Modality to BEV Maps—0
ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation—0
ZeroSCD: Zero-Shot Street Scene Change Detection—0
Zero-Shot 4D Lidar Panoptic Segmentation—0
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models—0
Zero-Shot Automatic Annotation and Instance Segmentation using LLM-Generated Datasets: Eliminating Field Imaging and Manual Annotation for Deep Learning Model Development—0
Zero-shot Autonomous Microscopy for Scalable and Intelligent Characterization of 2D Materials—0
Zero-shot capability of SAM-family models for bone segmentation in CT scans—0
Zero-shot Degree of Ill-posedness Estimation for Active Small Object Change Detection—0
Zero-Shot Digital Rock Image Segmentation with a Fine-Tuned Segment Anything Model—0
Zero-shot Domain Generalization of Foundational Models for 3D Medical Image Segmentation: An Experimental Study—0
Zero-Shot Dual-Path Integration Framework for Open-Vocabulary 3D Instance Segmentation—0
Zero-Shot Gaze-based Volumetric Medical Image Segmentation—0
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models—0
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models—0
Zero-Shot Pseudo Labels Generation Using SAM and CLIP for Semi-Supervised Semantic Segmentation—0
Zero-Shot Semantic Segmentation via Spatial and Multi-Scale Aware Visual Class Embedding—0
ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes—0
Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging—0
ZiCo-BC: A Bias Corrected Zero-Shot NAS for Vision Tasks—0
ZigZagNet: Fusing Top-Down and Bottom-Up Context for Object Segmentation—0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: Semi-Supervised Video Object Segmentation—0
ZJU ReLER Submission for EPIC-KITCHEN Challenge 2023: TREK-150 Single Object Tracking—0
ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs—0
Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels—0
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation—0
SpineMamba: Enhancing 3D Spinal Segmentation in Clinical Imaging through Residual Visual Mamba Layers and Shape Priors—0
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images—0
SPIQ: Data-Free Per-Channel Static Input Quantization—0
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data—0
SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection—0
Split Learning in Computer Vision for Semantic Segmentation Delay Minimization—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
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