Search Results for author:
Found 8 papers, 1 papers with code
3D-COCO: extension of MS-COCO dataset for image detection and 3D reconstruction modules
We introduce 3D-COCO, an extension of the original MS-COCO dataset providing 3D models and 2D-3D alignment annotations.
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery
This is a critical limitation given the unsupervised setting, where object segments and noise are not distinguishable.
SoccerNet 2023 Challenges Results
More information on the tasks, challenges, and leaderboards are available on https://www. soccer-net. org.
VIBR: Learning View-Invariant Value Functions for Robust Visual Control
In this work, we tackle the problem of robust visual control at its core and present VIBR (View-Invariant Bellman Residuals), a method that combines multi-view training and invariant prediction to reduce out-of-distribution (OOD) generalization gap for RL based visuomotor control.
Image Segmentation-based Unsupervised Multiple Objects Discovery
To address this problem, we propose a fully unsupervised, bottom-up approach, for multiple objects discovery.
Self-Supervised Pre-training of Vision Transformers for Dense Prediction Tasks
We present a new self-supervised pre-training of Vision Transformers for dense prediction tasks.
Efficient tracking of team sport players with few game-specific annotations
Many tracking and reidentification methods have been proposed in the context of video surveillance.
LapNet : Automatic Balanced Loss and Optimal Assignment for Real-Time Dense Object Detection
In this paper, we propose a new way to efficiently learn a single-shot detector which offers a very good compromise between these two objectives.
