Boundary Detection
8개 벤치마크 · 논문 404편 · 이 태스크의 논문 보기 →
Benchmarks
RoFT
RoFT-chatgpt
CoAuthor
NYU-Depth V2
TriBERT (in-domain)
UruDendro
Kinetics-400
PASCAL Context
Most implemented
Holistically-Nested Edge Detection
Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
TransNet V2: An effective deep network architecture for fast shot transition detection
TransNet: A deep network for fast detection of common shot transitions
Papers
Computational Measurement of Team-Process Phase Dynamics in Collaborative Virtual Reality
Collaborative virtual reality (VR) environments make team communication observable as it unfolds, but conventional transcript analyses often summarize entire trials or divide them into fixed temporal windows. Such approa…
Boundary DetectionLycheeMemory V2: Efficient Long-Term Memory for LLM Agents via Semantic Segment-Level Consolidation
Long-horizon LLM agents must preserve information from past interactions to support future tasks. Existing memory systems typically rely on eager consolidation, invoking LLMs after each interaction to extract, summarize,…
Boundary DetectionEvaluation of forced alignment of code-mixed speech: the case of Hindi-English
Code-mixed speech poses unique challenges to forced alignment: expanded inventories, orthographic errors, and speaker variation. We evaluate forced alignment of Hindi-English code-mixed speech using the Montreal Forced A…
Boundary DetectionWGDnet: Wishart-guided Geometric-aware Deep Network for PolSAR Image Classification
Polarimetric Synthetic Aperture Radar (PolSAR) classification underpins all-weather Earth observation. Conventional Wishart methods depend on rigid handcrafted operators with limited adaptability, while mainstream deep n…
Image ClassificationBoundary DetectionFSB-Net: Frequency-Spatial Boundary Network for Brain Stroke Lesion Segmentation in Non-Contrast CT
Accurate segmentation of brain stroke lesions in non-contrast computed tomography (NCCT) scans is critical for rapid clinical decision-making, yet remains difficult due to the low contrast between lesion and normal brain…
Lesion SegmentationBoundary DetectionSpeaker-Disentangled Chunk-Wise Regression for Syllabic Tokenization
Unsupervised syllabic tokenization aims to learn discrete syllabic tokens that capture latent linguistic content-related structure from raw speech. Recent syllabic tokenization methods employ teacher-student distillation…
Boundary Detection