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Semantic Segmentation

Papers

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Showing 6926–6950 of 14763 papers

TitleStatusHype
Fractal Pyramid Networks—0
Computer Stereo Vision for Autonomous Driving—0
Learning to Label Affordances from Simulated and Real Data—0
Deep feature transfer between localization and segmentation tasks—0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images—0
Computer-Aided Knee Joint Magnetic Resonance Image Segmentation - A Survey—0
Interpretable Small Training Set Image Segmentation Network Originated from Multi-Grid Variational Model—0
All you need is a second look: Towards Tighter Arbitrary shape text detection—0
SAGE: A Framework of Precise Retrieval for RAG—0
Learning to Detect Every Thing in an Open World—0
InterRVOS: Interaction-aware Referring Video Object Segmentation—0
Inter-Scale Dependency Modeling for Skin Lesion Segmentation with Transformer-based Networks—0
Computation Reallocation for Object Detection—0
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy—0
In the Era of Prompt Learning with Vision-Language Models—0
Learning to Detour: Shortcut Mitigating Augmentation for Weakly Supervised Semantic Segmentation—0
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation—0
FP-PET: Large Model, Multiple Loss And Focused Practice—0
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks—0
FPGA based Parallelized Architecture of Efficient Graph based Image Segmentation Algorithm—0
A Sparse Graph Formulation for Efficient Spectral Image Segmentation—0
Learning To Exploit the Sequence-Specific Prior Knowledge for Image Processing Pipelines Optimization—0
FPCD: An Open Aerial VHR Dataset for Farm Pond Change Detection—0
FoxInst: A Frustratingly Simple Baseline for Weakly Few-shot Instance Segmentation—0
Computationally Efficient Wasserstein Loss for Structured Labels—0
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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
4M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
5InternImage-HValidation 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