Sign In
insight - Computational Visual Media
LDTR: Transformer-based Lane Detection with Anchor-chain Representation
LDTRは、トランスフォーマーベースのネットワークであり、特に視覚的手掛かりの少ないレーンや任意の形状のレーンを柔軟かつ正確にモデル化するためにアンカーチェーン表現を活用しています。
LDTR: Transformer-based Lane Detection with Anchor-chain Representation
LDTR is a transformer-based model that revolutionizes lane detection by addressing challenges like no-visual-clue scenarios and complex lane shapes.
Recent Advances in 3D Gaussian Splatting: A Comprehensive Review
Advancements in 3D Gaussian Splatting have revolutionized rendering speed and editing capabilities, enabling efficient 3D content creation.
HoLens: Visual Analytics for Higher-order Movement Modeling and Visualization
HoLens proposes a novel approach for modeling and visualizing higher-order movement patterns in urban environments, addressing the limitations of conventional methods. The core reasoning behind HoLens is to provide adaptive movement aggregation and hierarchical self-organization to explore higher-order patterns effectively.
Products | Resources
Read more
- efficient-language-model-distillation-with-zero-shot-prompting
- 言語モデルの新たな能力を理解する-損失の視点からの考察
- human-motion-prediction-under-unexpected-perturbation-a-new-approach-with-differential-physics-and-deep-learning
- mrcベースの医療用ネスト型nerにおける共同予測と適応的事前学習
- a-comprehensive-survey-on-the-pumping-lemma-for-context-free-languages
- utilizing-motion-matching-with-deep-reinforcement-learning-for-target-location-tasks-in-computer-graphics
- vid2real-hri-aligning-video-based-hri-study-designs-with-real-world-settings
- matchseg-enhancing-medical-image-segmentation-with-matchseg-framework
© 2024 by Linnk AI