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Semantic Segmentation

Papers

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Showing 1726–1750 of 14763 papers

TitleStatusHype
Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation—0
A Surprisingly Simple Approach to Generalized Few-Shot Semantic SegmentationCode0
DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning—0
Amodal Instance Segmentation with Diffusion Shape Prior Estimation—0
Automated Segmentation and Analysis of Microscopy Images of Laser Powder Bed Fusion Melt Tracks—0
Efficient Microscopic Image Instance Segmentation for Food Crystal Quality Control—0
Global-Local Medical SAM Adaptor Based on Full Adaption—0
Revisit Anything: Visual Place Recognition via Image Segment RetrievalCode2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image SegmentationCode2
Shape-intensity knowledge distillation for robust medical image segmentationCode0
Hierarchical End-to-End Autonomous Driving: Integrating BEV Perception with Deep Reinforcement Learning—0
VL4AD: Vision-Language Models Improve Pixel-wise Anomaly Detection—0
First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic SegmentationCode1
Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM—0
PTQ4RIS: Post-Training Quantization for Referring Image SegmentationCode0
SDCL: Students Discrepancy-Informed Correction Learning for Semi-supervised Medical Image SegmentationCode1
Stochastic Subsampling With Average Pooling—0
WasteGAN: Data Augmentation for Robotic Waste Sorting through Generative Adversarial NetworksCode0
Going Beyond U-Net: Assessing Vision Transformers for Semantic Segmentation in Microscopy Image Analysis—0
DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation—0
Autonomous Hiking Trail Navigation via Semantic Segmentation and Geometric Analysis—0
A Formalization of Image Vectorization by Region Merging—0
CAD: Memory Efficient Convolutional Adapter for Segment AnythingCode1
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentationCode0
Instance Segmentation of Reinforced Concrete Bridges with Synthetic Point Clouds—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