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Semantic Segmentation

Papers

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Showing 4851–4900 of 14763 papers

TitleStatusHype
ClickSeg: 3D Instance Segmentation with Click-Level Weak Annotations—0
CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic SegmentationCode1
Boundary-Refined Prototype Generation: A General End-to-End Paradigm for Semi-Supervised Semantic SegmentationCode0
Towards Automated Semantic Segmentation in Mammography Images—0
MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point CloudsCode1
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks—0
Mining of Single-Class by Active Learning for Semantic Segmentation—0
OnlineRefer: A Simple Online Baseline for Referring Video Object SegmentationCode1
Disentangle then Parse:Night-time Semantic Segmentation with Illumination DisentanglementCode1
CG-fusion CAM: Online segmentation of laser-induced damage on large-aperture optics—0
Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation—0
EgoVM: Achieving Precise Ego-Localization using Lightweight Vectorized Maps—0
Light-Weight Vision Transformer with Parallel Local and Global Self-Attention—0
EVIL: Evidential Inference Learning for Trustworthy Semi-supervised Medical Image Segmentation—0
Frequency-mixed Single-source Domain Generalization for Medical Image SegmentationCode1
Evaluate Fine-tuning Strategies for Fetal Head Ultrasound Image Segmentation with U-NetCode0
Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation—0
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild—0
Multimodal Diffusion Segmentation Model for Object Segmentation from Manipulation Instructions—0
On Point Affiliation in Feature UpsamplingCode1
Variational Probabilistic Fusion Network for RGB-T Semantic Segmentation—0
Scale-Aware Modulation Meet TransformerCode2
Combiner and HyperCombiner Networks: Rules to Combine Multimodality MR Images for Prostate Cancer Localisation—0
Hierarchical Spatiotemporal Transformers for Video Object Segmentation—0
EGE-UNet: an Efficient Group Enhanced UNet for skin lesion segmentationCode2
Implementation of a perception system for autonomous vehicles using a detection-segmentation network in SoC FPGACode1
NVDS+: Towards Efficient and Versatile Neural Stabilizer for Video Depth EstimationCode1
Multi-Object Discovery by Low-Dimensional Object Motion—0
Dual-level Interaction for Domain Adaptive Semantic SegmentationCode1
Holistic Prototype Attention Network for Few-Shot VOSCode0
Boundary-weighted logit consistency improves calibration of segmentation networks—0
CalibNet: Dual-branch Cross-modal Calibration for RGB-D Salient Instance SegmentationCode1
HRHD-HK: A benchmark dataset of high-rise and high-density urban scenes for 3D semantic segmentation of photogrammetric point cloudsCode1
Improving Translation Invariance in Convolutional Neural Networks with Peripheral Prediction Padding—0
PSGformer: Enhancing 3D Point Cloud Instance Segmentation via Precise Semantic Guidance—0
Multiscale Memory Comparator Transformer for Few-Shot Video SegmentationCode0
Source-Free Domain Adaptive Fundus Image Segmentation with Class-Balanced Mean TeacherCode1
LEST: Large-scale LiDAR Semantic Segmentation with Transformer—0
Frequency Domain Adversarial Training for Robust Volumetric Medical SegmentationCode1
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic SegmentationCode0
HEAL-SWIN: A Vision Transformer On The SphereCode1
Challenge Results Are Not Reproducible—0
A scoping review on multimodal deep learning in biomedical images and texts—0
Inverse Evolution Layers: Physics-informed Regularizers for Deep Neural Networks—0
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object SegmentationCode1
SynTable: A Synthetic Data Generation Pipeline for Unseen Object Amodal Instance Segmentation of Cluttered Tabletop ScenesCode1
MPDIoU: A Loss for Efficient and Accurate Bounding Box Regression—0
FarSeg++: Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing ImageryCode1
DenseMP: Unsupervised Dense Pre-training for Few-shot Medical Image Segmentation—0
AnyStar: Domain randomized universal star-convex 3D instance segmentationCode1
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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