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
AutoShot: A Short Video Dataset and State-of-the-Art Shot Boundary DetectionCode2
Tiny and Efficient Model for the Edge Detection GeneralizationCode2
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene UnderstandingCode2
LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long VideosCode2
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal PromptingCode2
Rethinking Boundary Detection in Deep Learning-Based Medical Image SegmentationCode2
MedTsLLM: Leveraging LLMs for Multimodal Medical Time Series AnalysisCode2
Horizontal-to-Vertical Video ConversionCode1
Field of Junctions: Extracting Boundary Structure at Low SNRCode1
Generic Event Boundary Detection: A Benchmark for Event SegmentationCode1
Enhancing Monotonic Multihead Attention for Streaming ASRCode1
Frame-wise Cross-modal Matching for Video Moment RetrievalCode1
Hard Exudate Segmentation Supplemented by Super-Resolution with Multi-scale Attention Fusion ModuleCode1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayersCode1
Deeply supervised salient object detection with short connectionsCode1
Dense Extreme Inception Network: Towards a Robust CNN Model for Edge DetectionCode1
Boundary Guided Context Aggregation for Semantic SegmentationCode1
Advancing Hungarian Text Processing with HuSpaCy: Efficient and Accurate NLP PipelinesCode1
Clustering Based on Graph of Density TopologyCode1
A Multi-Task Deep Learning Framework for Building Footprint SegmentationCode1
A Good Foundation is Worth Many Labels: Label-Efficient Panoptic SegmentationCode1
Boundary-assisted Region Proposal Networks for Nucleus SegmentationCode1
Federated Learning Enables Big Data for Rare Cancer Boundary DetectionCode1
A Semantic Change Detection Network Based on Boundary Detection and Task Interaction for High-Resolution Remote Sensing ImagesCode1
Show:102550
← PrevPage 1 of 15Next →
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