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Semantic Segmentation

Papers

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Showing 5101–5150 of 14763 papers

TitleStatusHype
Progressive Fine-to-Coarse Reconstruction for Accurate Low-Bit Post-Training Quantization in Vision Transformers—0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image SegmentationCode0
Prompt Categories Cluster for Weakly Supervised Semantic Segmentation—0
Memorizing SAM: 3D Medical Segment Anything Model with Memorizing TransformerCode0
Federated Source-free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data—0
Optical aberrations in autonomous driving: Physics-informed parameterized temperature scaling for neural network uncertainty calibration—0
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated LearningCode0
Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments—0
Split Learning in Computer Vision for Semantic Segmentation Delay Minimization—0
Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation—0
ViTmiX: Vision Transformer Explainability Augmented by Mixed Visualization Methods—0
GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting—0
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical ImagingCode0
In-context learning for medical image segmentation—0
Structural Pruning via Spatial-aware Information Redundancy for Semantic SegmentationCode0
SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation—0
Open-World Panoptic Segmentation—0
SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing—0
Efficient Event-based Semantic Segmentation with Spike-driven Lightweight Transformer-based Networks—0
Adaptive Prototype Replay for Class Incremental Semantic SegmentationCode0
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery DocumentationCode0
Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive ManufacturingCode0
Towards Adversarial Robustness of Model-Level Mixture-of-Experts Architectures for Semantic SegmentationCode0
HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation—0
SAMIC: Segment Anything with In-Context Spatial Prompt Engineering—0
SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation—0
Classification Drives Geographic Bias in Street Scene Segmentation—0
Efficient Quantization-Aware Training on Segment Anything Model in Medical Images and Its DeploymentCode0
MAL: Cluster-Masked and Multi-Task Pretraining for Enhanced xLSTM Vision Performance—0
OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving—0
SegACIL: Solving the Stability-Plasticity Dilemma in Class-Incremental Semantic SegmentationCode0
Neural Network Meta Classifier: Improving the Reliability of Anomaly SegmentationCode0
CATALOG: A Camera Trap Language-guided Contrastive Learning ModelCode0
SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians—0
A Universal Degradation-based Bridging Technique for Domain Adaptive Semantic Segmentation—0
SPT: Sequence Prompt Transformer for Interactive Image Segmentation—0
Object-Focused Data Selection for Dense Prediction Tasks—0
Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer—0
ViCaS: A Dataset for Combining Holistic and Pixel-level Video Understanding using Captions with Grounded Segmentation—0
VLMs meet UDA: Boosting Transferability of Open Vocabulary Segmentation with Unsupervised Domain Adaptation—0
STEAM: Squeeze and Transform Enhanced Attention Module—0
On the effectiveness of Rotation-Equivariance in U-Net: A Benchmark for Image Segmentation—0
Embeddings are all you need! Achieving High Performance Medical Image Classification through Training-Free Embedding Analysis—0
DQA: An Efficient Method for Deep Quantization of Deep Neural Network Activations—0
Hierarchical Context Alignment with Disentangled Geometric and Temporal Modeling for Semantic Occupancy Prediction—0
Lightweight Method for Interactive 3D Medical Image Segmentation with Multi-Round Result FusionCode0
Structured IB: Improving Information Bottleneck with Structured Feature Learning—0
Automatic Image Annotation for Mapped Features Detection—0
Intelligent Control of Robotic X-ray Devices using a Language-promptable Digital Twin—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