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Found 5 papers, 4 papers with code
Global Features are All You Need for Image Retrieval and Reranking
Image retrieval systems conventionally use a two-stage paradigm, leveraging global features for initial retrieval and local features for reranking.
Ranked #1 on
Image Retrieval
on RParis (Hard)
LFM-3D: Learnable Feature Matching Across Wide Baselines Using 3D Signals
Finding localized correspondences across different images of the same object is crucial to understand its geometry.
Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food
Understanding the nutritional content of food from visual data is a challenging computer vision problem, with the potential to have a positive and widespread impact on public health.
StarMap for Category-Agnostic Keypoint and Viewpoint Estimation
Existing methods define semantic keypoints separately for each category with a fixed number of semantic labels in fixed indices.
Ranked #2 on
Keypoint Detection
on Pascal3D+
Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency
In this paper, we introduce a novel unsupervised domain adaptation technique for the task of 3D keypoint prediction from a single depth scan or image.
