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Semantic Segmentation

Papers

Showing 701725 of 14763 papers

TitleStatusHype
BRAU-Net++: U-Shaped Hybrid CNN-Transformer Network for Medical Image SegmentationCode2
OpenESS: Event-based Semantic Scene Understanding with Open VocabulariesCode2
Dataset QuantizationCode2
Decoupling Features in Hierarchical Propagation for Video Object SegmentationCode2
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIPCode2
Open-World Entity SegmentationCode2
Cross-Image Relational Knowledge Distillation for Semantic SegmentationCode2
Cross Language Image Matching for Weakly Supervised Semantic SegmentationCode2
CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic SegmentationCode2
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image ClassificationCode2
C2AM: Contrastive Learning of Class-Agnostic Activation Map for Weakly Supervised Object Localization and Semantic SegmentationCode2
Panoptic nuScenes: A Large-Scale Benchmark for LiDAR Panoptic Segmentation and TrackingCode2
CrossFormer++: A Versatile Vision Transformer Hinging on Cross-scale AttentionCode2
PA-SAM: Prompt Adapter SAM for High-Quality Image SegmentationCode2
PEM: Prototype-based Efficient MaskFormer for Image SegmentationCode2
Perceive Anything: Recognize, Explain, Caption, and Segment Anything in Images and VideosCode2
Cross-Modal Interactive Perception Network with Mamba for Lung Tumor Segmentation in PET-CT ImagesCode2
Co-Occurrent Features in Semantic SegmentationCode2
Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIPCode2
Coordinate Attention for Efficient Mobile Network DesignCode2
Point Transformer V2: Grouped Vector Attention and Partition-based PoolingCode2
A Multi-objective Optimization Benchmark Test Suite for Real-time Semantic SegmentationCode2
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal PromptingCode2
Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual RecognitionCode2
Ambiguous Medical Image Segmentation using Diffusion ModelsCode2
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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