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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 359 papers

TitleStatusHype
LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long VideosCode2
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary DetectionCode2
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series AnalysisCode2
Tiny and Efficient Model for the Edge Detection GeneralizationCode2
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal PromptingCode2
Rethinking Boundary Detection in Deep Learning-Based Medical Image SegmentationCode2
Horizontal-to-Vertical Video ConversionCode1
Frame-wise Cross-modal Matching for Video Moment RetrievalCode1
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion ModuleCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
Generic Event Boundary Detection: A Benchmark for Event SegmentationCode1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
Boundary Guided Context Aggregation for Semantic SegmentationCode1
Enhancing Monotonic Multihead Attention for Streaming ASRCode1
Enhancing Entity Boundary Detection for Better Chinese Named Entity RecognitionCode1
Federated Learning Enables Big Data for Rare Cancer Boundary DetectionCode1
Deeply supervised salient object detection with short connectionsCode1
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP PipelinesCode1
AI-generated text boundary detection with RoFTCode1
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
Capturing Logical Structure of Visually Structured Documents with Multimodal Transition ParserCode1
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
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All datasetsRoFTRoFT-chatgptCoAuthorNYU-Depth V2TriBERT (in-domain)UruDendroKinetics 400PASCAL Context

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)Accuracy (%)64.63—Unverified
2RoBERTa + SEPAccuracy (%)49.64—Unverified
3PHD + TS MLAccuracy (%)23.5—Unverified
4TLE + TS BinaryAccuracy (%)12.58—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)Accuracy (%)67.65—Unverified
2RoBERTa + SEPAccuracy (%)54.61—Unverified
3TLE + TS BinaryAccuracy (%)20.02—Unverified
4PHD + TS MLAccuracy (%)17.29—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (Mistral-7B-v0.3)Cohen’s Kappa score0.42—Unverified
2DeBERTa-v3 (Naive)Cohen’s Kappa score0.4—Unverified
3GigaCheck (DN-DAB-DETR)Cohen’s Kappa score0.19—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTodsF78.1—Unverified
2PGT (Swin-S)odsF78.04—Unverified
3PGT (Swin-T)odsF77.05—Unverified
#ModelMetricClaimedVerifiedStatus
1GigaCheck (DN-DAB-DETR)F1@30.65—Unverified
2TriBERT (p=2)F1@30.58—Unverified
#ModelMetricClaimedVerifiedStatus
1CS-TRDAverage Precision0.94—Unverified
2INBDAverage Precision0.75—Unverified
#ModelMetricClaimedVerifiedStatus
1CASTANET+ EnsemblePairwise F10.81—Unverified
#ModelMetricClaimedVerifiedStatus
1InvPTodsF73—Unverified