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Semantic Segmentation

Papers

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Showing 5851–5900 of 14763 papers

TitleStatusHype
Tsanet: Temporal and Scale Alignment for Unsupervised Video Object Segmentation—0
Radio astronomical images object detection and segmentation: A benchmark on deep learning methods—0
SEMv2: Table Separation Line Detection Based on Instance SegmentationCode1
Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion ModelsCode2
Rethinking the editing of generative adversarial networks: a method to estimate editing vectors based on dimension reduction—0
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors—0
Parsing Line Segments of Floor Plan Images Using Graph Neural Networks—0
FFT-based Dynamic Token Mixer for VisionCode1
InsMOS: Instance-Aware Moving Object Segmentation in LiDAR DataCode1
F2BEV: Bird's Eye View Generation from Surround-View Fisheye Camera Images for Automated DrivingCode1
Adaptive Texture Filtering for Single-Domain Generalized SegmentationCode0
Traffic Scene Parsing through the TSP6K DatasetCode1
UniHCP: A Unified Model for Human-Centric PerceptionsCode1
CANet: Context aware network with dual-stream pyramid for medical image segmentationCode0
IDA: Informed Domain Adaptive Semantic Segmentation—0
Exploiting Implicit Rigidity Constraints via Weight-Sharing Aggregation for Scene Flow Estimation from Point CloudsCode0
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern AnalysisCode2
Exploit CAM by itself: Complementary Learning System for Weakly Supervised Semantic Segmentation—0
BayeSeg: Bayesian Modeling for Medical Image Segmentation with Interpretable Generalizability—0
Generalized Semantic Segmentation by Self-Supervised Source Domain Projection and Multi-Level Contrastive LearningCode0
Collaborative Learning with a Drone OrchestratorCode0
Depth-based 6DoF Object Pose Estimation using Swin TransformerCode1
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled RegularizationCode1
Unleashing Text-to-Image Diffusion Models for Visual PerceptionCode2
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving—0
X^3KD: Knowledge Distillation Across Modalities, Tasks and Stages for Multi-Camera 3D Object Detection—0
Token Contrast for Weakly-Supervised Semantic SegmentationCode1
Transmission-Guided Bayesian Generative Model for Smoke SegmentationCode1
Multi-Source Soft Pseudo-Label Learning with Domain Similarity-based Weighting for Semantic SegmentationCode0
Spatial Layout Consistency for 3D Semantic Segmentation—0
Meta-information-aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT—0
Deep-NFA: a Deep a contrario Framework for Small Object Detection—0
Conflict-Based Cross-View Consistency for Semi-Supervised Semantic SegmentationCode1
Bayesian Deep Learning for Affordance Segmentation in images—0
Delivering Arbitrary-Modal Semantic SegmentationCode2
DAN-NucNet: A dual attention based framework for nuclei segmentation in cancer histology images under wild clinical conditionsCode0
ISBNet: a 3D Point Cloud Instance Segmentation Network with Instance-aware Sampling and Box-aware Dynamic ConvolutionCode1
DMSA: Dynamic Multi-scale Unsupervised Semantic Segmentation Based on Adaptive AffinityCode0
Leveraging SO(3)-steerable convolutions for pose-robust semantic segmentation in 3D medical dataCode1
BiSVP: Building Footprint Extraction via Bidirectional Serialized Vertex Prediction—0
Applying Plain Transformers to Real-World Point Clouds—0
Kartezio: Evolutionary Design of Explainable Pipelines for Biomedical Image AnalysisCode1
Efficient Masked Autoencoders with Self-Consistency—0
Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger—0
FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection—0
Interactive Segmentation as Gaussian Process ClassificationCode1
Generic-to-Specific Distillation of Masked AutoencodersCode1
Foundation Model Drives Weakly Incremental Learning for Semantic Segmentation—0
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors—0
Towards Surgical Context Inference and Translation to GesturesCode0
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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