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Semantic Segmentation

Papers

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Showing 6701–6750 of 14763 papers

TitleStatusHype
Learning Self-Regularized Adversarial Views for Self-Supervised Vision TransformersCode0
Semantic Segmentation with Active Semi-Supervised Representation Learning—0
CorDeep and the Sacrobosco Dataset: Detection of Visual Elements in Historical Documents—0
Prediction Calibration for Generalized Few-shot Semantic Segmentation—0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation—0
Optimizing Vision Transformers for Medical Image SegmentationCode1
Keypoint Cascade Voting for Point Cloud Based 6DoF Pose EstimationCode1
LESS: Label-Efficient Semantic Segmentation for LiDAR Point Clouds—0
Instance Segmentation with Cross-Modal Consistency—0
Lightweight Alpha Matting Network Using Distillation-Based Channel PruningCode0
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning—0
Learnable Polyphase Sampling for Shift Invariant and Equivariant Convolutional NetworksCode1
Hierarchical Approach for Joint Semantic, Plant Instance, and Leaf Instance Segmentation in the Agricultural DomainCode1
Model-Based Imitation Learning for Urban DrivingCode2
MOVE: Unsupervised Movable Object Segmentation and DetectionCode1
MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation—0
Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing—0
Multi-Task Learning based Video Anomaly Detection with Attention—0
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images—0
WaveMix-Lite: A Resource-efficient Neural Network for Image AnalysisCode1
Multi-Task Meta Learning: learn how to adapt to unseen tasksCode0
On the calibration of underrepresented classes in LiDAR-based semantic segmentation—0
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain ShiftCode0
RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer—0
U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense PredictionCode0
Feature-Proxy Transformer for Few-Shot SegmentationCode1
ConvTransSeg: A Multi-resolution Convolution-Transformer Network for Medical Image SegmentationCode0
DCANet: Differential Convolution Attention Network for RGB-D Semantic Segmentation—0
ALIFE: Adaptive Logit Regularizer and Feature Replay for Incremental Semantic Segmentation—0
Intermediate Prototype Mining Transformer for Few-Shot Semantic SegmentationCode1
Learning with Style: Continual Semantic Segmentation Across Tasks and Domains—0
Composite Learning for Robust and Effective Dense Predictions—0
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object DetectionCode1
Attribution-aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic SegmentationCode1
Exploring Long-Sequence Masked AutoencodersCode1
Hierarchical Instance Mixing across Domains in Aerial Segmentation—0
Latency-aware Spatial-wise Dynamic NetworksCode1
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation—0
LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLADCode1
Decomposed Knowledge Distillation for Class-Incremental Semantic SegmentationCode1
AISFormer: Amodal Instance Segmentation with TransformerCode1
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image—0
Token-Label Alignment for Vision TransformersCode1
Self-supervised video pretraining yields robust and more human-aligned visual representations—0
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation LearningCode1
SegViT: Semantic Segmentation with Plain Vision TransformersCode2
The Equalization Losses: Gradient-Driven Training for Long-tailed Object RecognitionCode2
UGformer for Robust Left Atrium and Scar Segmentation Across Scanners—0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Point Transformer V2: Grouped Vector Attention and Partition-based PoolingCode2
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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