SOTAVerified

Semantic Segmentation

Papers

Showing 22012250 of 14763 papers

TitleStatusHype
Applying Conditional Generative Adversarial Networks for Imaging Diagnosis0
Data-driven Verification of DNNs for Object Recognition0
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
FastSAM-3DSlicer: A 3D-Slicer Extension for 3D Volumetric Segment Anything Model with Uncertainty QuantificationCode1
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncodersCode0
Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model0
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised SegmentationCode0
Benchmarking Robust Self-Supervised Learning Across Diverse Downstream TasksCode0
Dual-level Adaptive Self-Labeling for Novel Class Discovery in Point Cloud SegmentationCode1
Progressive Proxy Anchor Propagation for Unsupervised Semantic SegmentationCode1
Close the Sim2real Gap via Physically-based Structured Light Synthetic Data Simulation0
ClearCLIP: Decomposing CLIP Representations for Dense Vision-Language Inference0
Instance-wise Uncertainty for Class Imbalance in Semantic Segmentation0
Generative AI Driven Task-Oriented Adaptive Semantic Communications0
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image SegmentationCode1
OAM-TCD: A globally diverse dataset of high-resolution tree cover mapsCode1
Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities0
Mitigating Background Shift in Class-Incremental Semantic SegmentationCode1
LoRA-PT: Low-Rank Adapting UNETR for Hippocampus Segmentation Using Principal Tensor Singular Values and VectorsCode0
FoodMem: Near Real-time and Precise Food Video Segmentation0
TCFormer: Visual Recognition via Token Clustering TransformerCode3
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded ScenesCode2
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation0
Leveraging Segment Anything Model in Identifying Buildings within Refugee Camps (SAM4Refugee) from Satellite Imagery for Humanitarian OperationsCode0
XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI ApproachCode0
Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic SegmentationCode1
VISA: Reasoning Video Object Segmentation via Large Language ModelsCode3
Improving Unsupervised Video Object Segmentation via Fake Flow Generation0
SGIFormer: Semantic-guided and Geometric-enhanced Interleaving Transformer for 3D Instance SegmentationCode1
SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point CloudsCode2
M18K: A Comprehensive RGB-D Dataset and Benchmark for Mushroom Detection and Instance SegmentationCode0
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding0
Efficient In-Context Medical Segmentation with Meta-driven Visual Prompt Selection0
Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event CamerasCode1
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen RepresentationsCode1
Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs0
Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture0
Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation0
Deep ContourFlow: Advancing Active Contours with Deep LearningCode1
Can Textual Semantics Mitigate Sounding Object Segmentation Preference?Code0
Part2Object: Hierarchical Unsupervised 3D Instance SegmentationCode1
HSFusion: A high-level vision task-driven infrared and visible image fusion network via semantic and geometric domain transformation0
WPS-SAM: Towards Weakly-Supervised Part Segmentation with Foundation ModelsCode1
Enhancing Weakly-Supervised Histopathology Image Segmentation with Knowledge Distillation on MIL-Based Pseudo-LabelsCode0
Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape DataCode0
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR SegmentationCode1
SACNet: A Spatially Adaptive Convolution Network for 2D Multi-organ Medical Segmentation0
Visual Prompt Selection for In-Context Learning SegmentationCode1
3D Weakly Supervised Semantic Segmentation with 2D Vision-Language GuidanceCode1
TASeg: Temporal Aggregation Network for LiDAR Semantic SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310Unverified
2ViT-P (InternImage-H)Validation mIoU63.6Unverified
3ONE-PEACEValidation mIoU63Unverified
4M3I Pre-training (InternImage-H)Validation mIoU62.9Unverified
5InternImage-HValidation mIoU62.9Unverified
6BEiT-3Validation mIoU62.8Unverified
7EVAValidation mIoU62.3Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5Unverified
10FD-SwinV2-GValidation mIoU61.4Unverified