SOTAVerified

Boundary Detection

Boundary Detection is a vital part of extracting information encoded in images, allowing for the computation of quantities of interest including density, velocity, pressure, etc.

Source: A Locally Adapting Technique for Boundary Detection using Image Segmentation

Papers

Showing 125 of 359 papers

TitleStatusHype
Rethinking Boundary Detection in Deep Learning-Based Medical Image SegmentationCode2
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal PromptingCode2
LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long VideosCode2
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series AnalysisCode2
Tiny and Efficient Model for the Edge Detection GeneralizationCode2
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary DetectionCode2
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
TimeLoc: A Unified End-to-End Framework for Precise Timestamp Localization in Long VideosCode1
Unsupervised Speech Segmentation: A General Approach Using Speech Language ModelsCode1
UV-Mamba: A DCN-Enhanced State Space Model for Urban Village Boundary Identification in High-Resolution Remote Sensing ImagesCode1
Rethinking the Architecture Design for Efficient Generic Event Boundary DetectionCode1
MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based DecodersCode1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
TextMachina: Seamless Generation of Machine-Generated Text DatasetsCode1
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile RobotsCode1
AI-generated text boundary detection with RoFTCode1
TSP-Transformer: Task-Specific Prompts Boosted Transformer for Holistic Scene UnderstandingCode1
Local Compressed Video Stream Learning for Generic Event Boundary DetectionCode1
Self-Similarity-Based and Novelty-based loss for music structure analysisCode1
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP PipelinesCode1
Prompt Guided Transformer for Multi-Task Dense PredictionCode1
MAE-GEBD:Winning the CVPR'2023 LOVEU-GEBD ChallengeCode1
Rethinking Boundary Detection in Deep Learning Models for Medical Image SegmentationCode1
Iterative Next Boundary Detection for Instance Segmentation of Tree Rings in Microscopy Images of Shrub Cross SectionsCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)Accuracy (%)64.63Unverified
2RoBERTa + SEPAccuracy (%)49.64Unverified
3PHD + TS MLAccuracy (%)23.5Unverified
4TLE + TS BinaryAccuracy (%)12.58Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)Accuracy (%)67.65Unverified
2RoBERTa + SEPAccuracy (%)54.61Unverified
3TLE + TS BinaryAccuracy (%)20.02Unverified
4PHD + TS MLAccuracy (%)17.29Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (Mistral-7B-v0.3)Cohen’s Kappa score0.42Unverified
2DeBERTa-v3 (Naive)Cohen’s Kappa score0.4Unverified
3GigaCheck (DN-DAB-DETR)Cohen’s Kappa score0.19Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTodsF78.1Unverified
2PGT (Swin-S)odsF78.04Unverified
3PGT (Swin-T)odsF77.05Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)F1@30.65Unverified
2TriBERT (p=2)F1@30.58Unverified
#ModelMetricClaimedVerifiedStatus
1CS-TRDAverage Precision0.94Unverified
2INBDAverage Precision0.75Unverified
#ModelMetricClaimedVerifiedStatus
1CASTANET+ EnsemblePairwise F10.81Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTodsF73Unverified