Search Results for author:
Found 6 papers, 3 papers with code
Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction
Compared to ground-based VLN, aerial VLN requires the agent to decide the next action in both horizontal and vertical directions based on the first-person view observations.
OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation
Recent advances in Iterative Vision-and-Language Navigation (IVLN) introduce a more meaningful and practical paradigm of VLN by maintaining the agent's memory across tours of scenes.
Improved Distribution Matching for Dataset Condensation
In this paper, we propose a novel dataset condensation method based on distribution matching, which is more efficient and promising.
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning
In this paper, we address a complex but practical scenario in semi-supervised learning (SSL) named open-set SSL, where unlabeled data contain both in-distribution (ID) and out-of-distribution (OOD) samples.
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels
In this paper, we propose a two-stage clean samples identification method to address the aforementioned challenge.
Ranked #4 on
Image Classification
on Clothing1M
(using extra training data)
Collaborative Training between Region Proposal Localization and Classification for Domain Adaptive Object Detection
Domain adaptation for object detection tries to adapt the detector from labeled datasets to unlabeled ones for better performance.
