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Found 7 papers, 4 papers with code
VSRD: Instance-Aware Volumetric Silhouette Rendering for Weakly Supervised 3D Object Detection
In the auto-labeling stage, we represent the surface of each instance as a signed distance field (SDF) and render its silhouette as an instance mask through our proposed instance-aware volumetric silhouette rendering.
3D Volumetric Reconstruction
Monocular 3D Object Detection
+5
CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation
Stereo matching under foggy scenes remains a challenging task since the scattering effect degrades the visibility and results in less distinctive features for dense correspondence matching.
Digging Into Normal Incorporated Stereo Matching
To enhance geometric consistency, especially in low-texture regions, the estimated normal map is then leveraged to calculate a local affinity matrix, providing the residual learning with information about where the correction should refer and thus improving the residual learning efficiency.
Global Occlusion-Aware Transformer for Robust Stereo Matching
Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, the performance in the ill-conditioned regions, such as the occluded regions, remains a bottleneck.
A Dataset and Baselines for Visual Question Answering on Art
Our dataset inherently consists of visual (painting-based) and knowledge (comment-based) questions.
SURREAL-System: Fully-Integrated Stack for Distributed Deep Reinforcement Learning
We present an overview of SURREAL-System, a reproducible, flexible, and scalable framework for distributed reinforcement learning (RL).
Question Answering via Web Extracted Tables and Pipelined Models
Each QA instance comprises a table of either kind, a natural language question, and a corresponding structured SQL query.
